{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Widgets.ipynb",
      "version": "0.3.2",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true,
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/JiWang-CIT/LearnColab/blob/master/Widgets.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "metadata": {
        "colab_type": "text",
        "id": "sIjLDA3OPTpV"
      },
      "cell_type": "markdown",
      "source": [
        "# Colab Widgets"
      ]
    },
    {
      "metadata": {
        "colab_type": "text",
        "id": "rYTZ6IhFPW1E"
      },
      "cell_type": "markdown",
      "source": [
        "This notebook demonstrates use of colaboratory's layout widgets.\n",
        "\n",
        "Colaboratory's widgets enable _redirecting future output_ to a particular place\n",
        "in the layout rather than requiring users to provide preconstructed html. Thus\n",
        "existing code that publishes its own output (such as bokeh, or matplotlib) can\n",
        "be treated as building-blocks from which more complex layouts can be built.\n",
        "Widgets also support a simple protocol for updating and clearing outputs\n",
        "dynamically."
      ]
    },
    {
      "metadata": {
        "colab_type": "text",
        "id": "u6-xjyyhPyV3"
      },
      "cell_type": "markdown",
      "source": [
        "## Grid"
      ]
    },
    {
      "metadata": {
        "colab_type": "text",
        "id": "tj7G2xLCSAfE"
      },
      "cell_type": "markdown",
      "source": [
        "### Example"
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "P6xc9QVFSlrw",
        "outputId": "6f114ede-1631-4c4d-9fa1-3771f602091d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 96
        }
      },
      "cell_type": "code",
      "source": [
        "from google.colab import widgets\n",
        "\n",
        "print(\"I am the first print statement of the cell\")\n",
        "\n",
        "# Now we can create a grid, optional header_row and header_column\n",
        "# control whether we want header elements in the grid\n",
        "grid = widgets.Grid(2, 2, header_row=True, header_column=True)\n",
        "with grid.output_to(1, 1):\n",
        "  print(\"Bye grid\")\n",
        "\n",
        "# Note we can output to arbitrary cell, not necessarily in order\n",
        "with grid.output_to(0, 0):\n",
        "  print(\"Hello grid\")\n",
        "\n",
        "print(\"Now we are outside\")\n",
        "\n",
        "with grid.output_to(1, 0):\n",
        "  print(\"Back inside!\")\n",
        "\n",
        "# Any output can be printed to individual cells, not just print statements."
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "I am the first print statement of the cell\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
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              "        }</style>"
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              "<table id=id2><tr><th id=id2-0-0></th><th id=id2-0-1></th></tr><tr><th id=id2-1-0></th><td id=id2-1-1></td></tr></table>"
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            "text/plain": [
              "<IPython.core.display.HTML object>"
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          "metadata": {
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              "outputarea_id2"
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          "output_type": "display_data",
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            "application/javascript": [
              "window[\"1f3975ec-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_5c774c33c2"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          },
          "metadata": {
            "tags": [
              "id2-1-1",
              "outputarea_id2"
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          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"1f39d744-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id2-1-1\");\n",
              "//# sourceURL=js_df12cd53c1"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
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          "metadata": {
            "tags": [
              "id2-1-1",
              "outputarea_id2"
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        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"1f3a4efe-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"1f39d744-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_246a688840"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id2-1-1",
              "outputarea_id2"
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          }
        },
        {
          "output_type": "stream",
          "text": [
            "Bye grid\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"1f3bb050-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"1f3975ec-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_347ea7b7c5"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          "metadata": {
            "tags": [
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              "outputarea_id2"
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          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"1f3d6d82-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_d1662d8ea2"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id2-0-0",
              "outputarea_id2"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"1f3dbcd8-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id2-0-0\");\n",
              "//# sourceURL=js_4500a82eca"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id2-0-0",
              "outputarea_id2"
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          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"1f3e13fe-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"1f3dbcd8-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_cb297a0b7c"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id2-0-0",
              "outputarea_id2"
            ]
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Hello grid\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"1f3f26ea-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"1f3d6d82-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_89e1cc5b26"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id2-0-0",
              "outputarea_id2"
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          }
        },
        {
          "output_type": "stream",
          "text": [
            "Now we are outside\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"1f40dd78-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_03b1a1d353"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
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            "tags": [
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              "outputarea_id2"
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        },
        {
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          "data": {
            "application/javascript": [
              "window[\"1f4130a2-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id2-1-0\");\n",
              "//# sourceURL=js_3638115e48"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id2-1-0",
              "outputarea_id2"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"1f417db4-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"1f4130a2-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_976d30d5c9"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id2-1-0",
              "outputarea_id2"
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          }
        },
        {
          "output_type": "stream",
          "text": [
            "Back inside!\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"1f434928-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"1f40dd78-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_2f70bfa0d0"
            ],
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              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
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              "id2-1-0",
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      ]
    },
    {
      "metadata": {
        "colab_type": "text",
        "id": "cl6RvxyQ2UMI"
      },
      "cell_type": "markdown",
      "source": [
        "### Dynamic data population\n",
        "\n",
        "Individual cells can be cleared as new data arrives."
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "Kg9nhvPp3SPe",
        "outputId": "719c3c98-ef2b-43af-cd65-87f2b7eb5f51",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 304
        }
      },
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import random\n",
        "import time\n",
        "from matplotlib import pylab\n",
        "grid = widgets.Grid(2, 2)\n",
        "for i in range(20):\n",
        "  with grid.output_to(random.randint(0, 1), random.randint(0, 1)):\n",
        "    grid.clear_cell()\n",
        "    pylab.figure(figsize=(2, 2))\n",
        "    pylab.plot(np.random.random((10, 1)))\n",
        "  time.sleep(0.5)"
      ],
      "execution_count": 0,
      "outputs": [
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              "       table#id6, #id6 > tbody > tr > th, #id6 > tbody > tr > td {\n",
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              "window[\"1ff6f054-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_708b145a82"
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              "//# sourceURL=js_7e5101dc3f"
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              "//# sourceURL=js_6e183f5982"
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              "window[\"2059b3ec-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id6-1-0\");\n",
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              "//# sourceURL=js_d6ba19602b"
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            "text/plain": [
              "<IPython.core.display.Javascript object>"
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            "application/javascript": [
              "window[\"206bdf4a-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2059326e-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_5c0c272c1d"
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              "window[\"20be446a-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_577557e7ec"
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            "application/javascript": [
              "window[\"20bf0a30-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id6-1-0\");\n",
              "//# sourceURL=js_7f0186b2b9"
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              "//# sourceURL=js_2ca4c83971"
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            "application/javascript": [
              "window[\"20ced528-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"20be446a-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_f6a017fd33"
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          "data": {
            "application/javascript": [
              "window[\"211cb3ce-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_acedc8f2e1"
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              "window[\"211d0d2e-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id6-0-1\");\n",
              "//# sourceURL=js_ed9958aceb"
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              "window[\"211da950-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"211d0d2e-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_0e26fcf9fa"
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              "//# sourceURL=js_7f4b04c325"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"217bbf40-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_96ac54085d"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-1-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"217c3312-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id6-1-0\");\n",
              "//# sourceURL=js_c20c845b29"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-1-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"217cd182-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"217c3312-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_65261d298d"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-1-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"218d5d0e-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"217bbf40-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_fccfe1e9d1"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-1-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"21dba338-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_32a3999594"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-1-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"21dc0760-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id6-1-0\");\n",
              "//# sourceURL=js_bb87925e26"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-1-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"21dcb16a-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"21dc0760-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_1e6cd14740"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-1-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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o1UrJ8yZZTEnEYtRjd3rwB6S/AiM0xW1bd6+Y1Col68uM3LbNMDMv3VWvspiSiMWgIyAI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\nJCMZsphkJEMWk4xkyGKSkYz/B2ld+0Uzb7nTAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f4938c07d50>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-1-0",
              "outputarea_id6",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"21ed4d40-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"21dba338-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_08e5e3ddb7"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-1-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"223bb3a4-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_bb0f831ee2"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"223c1e8e-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id6-0-1\");\n",
              "//# sourceURL=js_673209af9c"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"223c737a-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"223c1e8e-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_354648fc1f"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"224c4c32-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"223bb3a4-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_fb25ec866b"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"229a26dc-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_5a80897330"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-1-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"229a8064-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id6-1-1\");\n",
              "//# sourceURL=js_b7497c4e54"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-1-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"229b31f8-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"229a8064-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_966fec13c9"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-1-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"22ab7d92-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"229a26dc-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_eccdd663d0"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-1-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"22f95ea4-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_54b2ce6bcb"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"22f9bbc4-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id6-0-1\");\n",
              "//# sourceURL=js_f7dd2f2768"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"22fa1b14-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"22f9bbc4-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_69dfde10a8"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"230b3f8e-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"22f95ea4-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_46bd70dfe0"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"23591b46-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_02fdaaf321"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2359779e-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id6-0-1\");\n",
              "//# sourceURL=js_08f54a8a4f"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2359da04-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2359779e-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_a5998285b5"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2369989a-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"23591b46-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_a4c84960dd"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"23b7dc30-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_c7f9e15aa9"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"23b8d932-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id6-0-1\");\n",
              "//# sourceURL=js_cb81693867"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"23b95a92-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"23b8d932-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_31246c33f4"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"23c943ee-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"23b7dc30-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_ffbb112d8f"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2417951c-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_24dc8f1874"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-1-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2417e468-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id6-1-1\");\n",
              "//# sourceURL=js_dfdd66ceff"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-1-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"24186ca8-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2417e468-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_642409a579"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-1-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"242861f8-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2417951c-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_8917ad33d8"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-1-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2476a12e-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_a19f32f5f8"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2476eeea-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id6-0-1\");\n",
              "//# sourceURL=js_8a3060f0de"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2477457a-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2476eeea-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_c205509348"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"248708d4-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2476a12e-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_15b001f65b"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"24d55da4-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_1178f34869"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"24d59ee0-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id6-0-0\");\n",
              "//# sourceURL=js_d18b0c2166"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"24d5f0d4-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"24d59ee0-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_15553ab00a"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"24e63dd6-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"24d55da4-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_f1f11b81b5"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"25340d18-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_90ce76ba3a"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"253460a6-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id6-0-1\");\n",
              "//# sourceURL=js_b25fc99f8e"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2534b54c-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"253460a6-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_79421665dc"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f493881add0>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"25553b3c-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"25340d18-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_7c85fd7dcc"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"25a3ad76-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_a57e495882"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"25a40276-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id6-0-0\");\n",
              "//# sourceURL=js_e711eeb9c6"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"25a45dfc-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"25a40276-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_992557cd6b"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"25b42c3c-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"25a3ad76-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_29b0d0165b"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"26027e50-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_101c333f19"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2602c54a-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id6-0-0\");\n",
              "//# sourceURL=js_b0354e2407"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2603128e-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2602c54a-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_8f34efe7f0"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2611f88a-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"26027e50-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_5427346e27"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"265f87ee-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_3433e52d20"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"265fe5b8-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id6-0-0\");\n",
              "//# sourceURL=js_80b0c0b13b"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2660398c-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"265fe5b8-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_810ee741b0"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"266ff0ac-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"265f87ee-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_24b6c69d83"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"26be29d4-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_222bb5581e"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-1-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"26be7a88-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id6-1-1\");\n",
              "//# sourceURL=js_69479d0ba5"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-1-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"26bfb01a-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"26be7a88-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_f98df2b280"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-1-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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TYMwN/FLjqa27TO25To6d7xq1jUlPimZFiZEVJZmyGTOc+NnMn/52hvJ5qTz7cLks3zkZ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\nQ4hJIBv/B00sGmBHMZQYAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f493adc4d90>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-1-1",
              "outputarea_id6",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"26ce0494-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"26be29d4-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_ed8e0c09de"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-1-1",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"271c3b14-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_2d34a13a7a"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"271c9bae-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id6-0-0\");\n",
              "//# sourceURL=js_cccbead7b3"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"271cf11c-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"271c9bae-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_3ec5343889"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f49389bed90>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-0",
              "outputarea_id6",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"272d4de6-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"271c3b14-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_93881558bd"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6-0-0",
              "outputarea_id6"
            ]
          }
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "text",
        "id": "QKk_E6-QRVPW"
      },
      "cell_type": "markdown",
      "source": [
        "## Tabbar\n",
        "\n",
        "TabBar provides a tabbed UI that shows one group of outputs among several while\n",
        "hiding the rest. All outputs can be sent to tabs: simple print()s, matplotlib\n",
        "plots, or any of the rich interactive libraries' outputs."
      ]
    },
    {
      "metadata": {
        "colab_type": "text",
        "id": "AwzCXwSU7Oec"
      },
      "cell_type": "markdown",
      "source": [
        "### Example"
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "WUWQJqKwrwg5",
        "outputId": "4158f1ce-db4e-4d70-f56f-2a64c9c0ba39",
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/tabbar.css": {
              "data": "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",
              "headers": [
                [
                  "content-length",
                  "1394"
                ],
                [
                  "content-type",
                  "text/css"
                ]
              ],
              "ok": true,
              "status": 200,
              "status_text": ""
            },
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",
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "ok": true,
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 291
        }
      },
      "cell_type": "code",
      "source": [
        "from __future__ import print_function\n",
        "\n",
        "from google.colab import widgets\n",
        "from google.colab import output\n",
        "from matplotlib import pylab\n",
        "from six.moves import zip\n",
        "\n",
        "\n",
        "def create_tab(location):\n",
        "  tb = widgets.TabBar(['a', 'b'], location=location)\n",
        "  with tb.output_to('a'):\n",
        "    pylab.figure(figsize=(3, 3))\n",
        "    pylab.plot([1, 2, 3])\n",
        "  # Note you can access tab by its name (if they are unique), or\n",
        "  # by its index.\n",
        "  with tb.output_to(1):\n",
        "    pylab.figure(figsize=(3, 3))\n",
        "    pylab.plot([3, 2, 3])\n",
        "    pylab.show()\n",
        "\n",
        "\n",
        "print('Different orientations for tabs')\n",
        "\n",
        "positions = ['start', 'bottom', 'end', 'top']\n",
        "\n",
        "for p, _ in zip(positions, widgets.Grid(1, 4)):\n",
        "  print('---- %s ---' % p)\n",
        "  create_tab(p)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Different orientations for tabs\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<style>\n",
              "       table#id8, #id8 > tbody > tr > th, #id8 > tbody > tr > td {\n",
              "         border: 1px solid lightgray;\n",
              "         border-collapse:collapse;\n",
              "         \n",
              "        }</style>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "outputarea_id8"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<table id=id8><tr><td id=id8-0-0></td><td id=id8-0-1></td><td id=id8-0-2></td><td id=id8-0-3></td></tr></table>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "outputarea_id8"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"27c8ba2e-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_93a0e38a06"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-0",
              "outputarea_id8"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"27c90948-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id8-0-0\");\n",
              "//# sourceURL=js_dc1ee6ca51"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-0",
              "outputarea_id8"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"27c95b32-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"27c90948-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_1be820681e"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-0",
              "outputarea_id8"
            ]
          }
        },
        {
          "output_type": "stream",
          "text": [
            "---- start ---\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<link rel=stylesheet type=text/css href='/nbextensions/google.colab/tabbar.css'></link>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-0",
              "outputarea_id8",
              "outputarea_id9",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<script src='/nbextensions/google.colab/tabbar_main.min.js'></script>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-0",
              "outputarea_id8",
              "outputarea_id9",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div id=\"id9\"></div>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-0",
              "outputarea_id8",
              "outputarea_id9",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"27cb3542-968d-11e8-93d3-0242ac1c0002\"] = colab_lib.createTabBar({\"contentBorder\": [\"0px\"], \"borderColor\": [\"#a7a7a7\"], \"tabNames\": [\"a\", \"b\"], \"initialSelection\": 0, \"location\": \"start\", \"contentHeight\": [\"initial\"], \"elementId\": \"id9\"});\n",
              "//# sourceURL=js_887ffc3b8e"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-0",
              "outputarea_id8",
              "outputarea_id9",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"27cb8128-968d-11e8-93d3-0242ac1c0002\"] = window[\"id9\"].setSelectedTabIndex(0);\n",
              "//# sourceURL=js_e0d25fd111"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-0",
              "outputarea_id8",
              "outputarea_id9",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"27ccfc74-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_c30e33bcc5"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-0",
              "id9_content_0",
              "outputarea_id8",
              "outputarea_id9",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"27cd5138-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id9_content_0\");\n",
              "//# sourceURL=js_f2aa69f1b0"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-0",
              "id9_content_0",
              "outputarea_id8",
              "outputarea_id9",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"27cdc2f8-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"27cd5138-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_0569083b85"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-0",
              "id9_content_0",
              "outputarea_id8",
              "outputarea_id9",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"27ce1262-968d-11e8-93d3-0242ac1c0002\"] = window[\"id9\"].setSelectedTabIndex(0);\n",
              "//# sourceURL=js_0db585745a"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-0",
              "id9_content_0",
              "outputarea_id8",
              "outputarea_id9",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
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VN/HR8RrYWlvilQ2h8PPmsx2J6BgVZZJOVjTj719fgJ0ND+lJofDxouVdU0RFmYTisiZ8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\nRhAXeOPpY40AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f493880d3d0>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-0",
              "id9_content_0",
              "outputarea_id8",
              "outputarea_id9",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"27dfea64-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"27ccfc74-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_9147f8158c"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-0",
              "id9_content_0",
              "outputarea_id8",
              "outputarea_id9",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"27e0f026-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_bd5775bddd"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-0",
              "id9_content_1",
              "outputarea_id8",
              "outputarea_id9",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"27e13554-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id9_content_1\");\n",
              "//# sourceURL=js_9ff013c0ae"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-0",
              "id9_content_1",
              "outputarea_id8",
              "outputarea_id9",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"27e1942c-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"27e13554-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_7b134b8474"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-0",
              "id9_content_1",
              "outputarea_id8",
              "outputarea_id9",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"27e23aee-968d-11e8-93d3-0242ac1c0002\"] = window[\"id9\"].setSelectedTabIndex(1);\n",
              "//# sourceURL=js_6486f0e2bd"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-0",
              "id9_content_1",
              "outputarea_id8",
              "outputarea_id9",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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/D5bPcczVBESj/ExYkDfJsyKpbe4iu1DEcVvrWGYZ/caBuGs3veP+uDlu5Ta0eWkCep2G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\ngg==\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f493880ded0>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-0",
              "id9_content_1",
              "outputarea_id8",
              "outputarea_id9",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"27f425ec-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"27e0f026-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_1a70a15b4c"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-0",
              "id9_content_1",
              "outputarea_id8",
              "outputarea_id9",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"27f65380-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"27c8ba2e-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_dc460d4e53"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-0",
              "outputarea_id8"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"27f90e7c-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_627f86e22f"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-1",
              "outputarea_id8"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"27f965f2-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id8-0-1\");\n",
              "//# sourceURL=js_3489ce950b"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-1",
              "outputarea_id8"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"27fa0bf6-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"27f965f2-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_6ec3f6053b"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-1",
              "outputarea_id8"
            ]
          }
        },
        {
          "output_type": "stream",
          "text": [
            "---- bottom ---\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<link rel=stylesheet type=text/css href='/nbextensions/google.colab/tabbar.css'></link>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-1",
              "outputarea_id10",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<script src='/nbextensions/google.colab/tabbar_main.min.js'></script>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-1",
              "outputarea_id10",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div id=\"id10\"></div>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-1",
              "outputarea_id10",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"27fca3ac-968d-11e8-93d3-0242ac1c0002\"] = colab_lib.createTabBar({\"contentBorder\": [\"0px\"], \"borderColor\": [\"#a7a7a7\"], \"tabNames\": [\"a\", \"b\"], \"initialSelection\": 0, \"location\": \"bottom\", \"contentHeight\": [\"initial\"], \"elementId\": \"id10\"});\n",
              "//# sourceURL=js_482ac3f6b4"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-1",
              "outputarea_id10",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"27fd289a-968d-11e8-93d3-0242ac1c0002\"] = window[\"id10\"].setSelectedTabIndex(0);\n",
              "//# sourceURL=js_923fbc3a3b"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-1",
              "outputarea_id10",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"27fed7ee-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_20bbe89eff"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id10_content_0",
              "id8-0-1",
              "outputarea_id10",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"27ff3716-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id10_content_0\");\n",
              "//# sourceURL=js_ab9498448a"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id10_content_0",
              "id8-0-1",
              "outputarea_id10",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"27ffb0ba-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"27ff3716-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_4c1c59131a"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id10_content_0",
              "id8-0-1",
              "outputarea_id10",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"28004de0-968d-11e8-93d3-0242ac1c0002\"] = window[\"id10\"].setSelectedTabIndex(0);\n",
              "//# sourceURL=js_5cc8a58aff"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id10_content_0",
              "id8-0-1",
              "outputarea_id10",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
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VN/HR8RrYWlvilQ2h8PPmsx2J6BgVZZJOVjTj719fgJ0ND+lJofDxouVdU0RFmYTisiZ8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\nRhAXeOPpY40AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f493880df50>"
            ]
          },
          "metadata": {
            "tags": [
              "id10_content_0",
              "id8-0-1",
              "outputarea_id10",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"281653ec-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"27fed7ee-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_e4b289a8d6"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id10_content_0",
              "id8-0-1",
              "outputarea_id10",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"281b05ea-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_59852ac57a"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id10_content_1",
              "id8-0-1",
              "outputarea_id10",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"281b85ec-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id10_content_1\");\n",
              "//# sourceURL=js_7210d219fc"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id10_content_1",
              "id8-0-1",
              "outputarea_id10",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"281be262-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"281b85ec-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_c6efdce6db"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id10_content_1",
              "id8-0-1",
              "outputarea_id10",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"281d76fe-968d-11e8-93d3-0242ac1c0002\"] = window[\"id10\"].setSelectedTabIndex(1);\n",
              "//# sourceURL=js_13519e0d58"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id10_content_1",
              "id8-0-1",
              "outputarea_id10",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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/D5bPcczVBESj/ExYkDfJsyKpbe4iu1DEcVvrWGYZ/caBuGs3veP+uDlu5Ta0eWkCep2G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\ngg==\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f493880d990>"
            ]
          },
          "metadata": {
            "tags": [
              "id10_content_1",
              "id8-0-1",
              "outputarea_id10",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2833e6dc-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"281b05ea-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_c59d6ea814"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id10_content_1",
              "id8-0-1",
              "outputarea_id10",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"28385348-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"27f90e7c-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_8bcb1edebe"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-1",
              "outputarea_id8"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"283aedec-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_b34a684674"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-2",
              "outputarea_id8"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"283b4a80-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id8-0-2\");\n",
              "//# sourceURL=js_9a8c61495b"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-2",
              "outputarea_id8"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"283bc208-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"283b4a80-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_4401a9b613"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-2",
              "outputarea_id8"
            ]
          }
        },
        {
          "output_type": "stream",
          "text": [
            "---- end ---\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<link rel=stylesheet type=text/css href='/nbextensions/google.colab/tabbar.css'></link>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-2",
              "outputarea_id11",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<script src='/nbextensions/google.colab/tabbar_main.min.js'></script>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-2",
              "outputarea_id11",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div id=\"id11\"></div>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-2",
              "outputarea_id11",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"283e340c-968d-11e8-93d3-0242ac1c0002\"] = colab_lib.createTabBar({\"contentBorder\": [\"0px\"], \"borderColor\": [\"#a7a7a7\"], \"tabNames\": [\"a\", \"b\"], \"initialSelection\": 0, \"location\": \"end\", \"contentHeight\": [\"initial\"], \"elementId\": \"id11\"});\n",
              "//# sourceURL=js_1b80819364"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-2",
              "outputarea_id11",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"283e8772-968d-11e8-93d3-0242ac1c0002\"] = window[\"id11\"].setSelectedTabIndex(0);\n",
              "//# sourceURL=js_dd6529684b"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-2",
              "outputarea_id11",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2840df9a-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_8791f30c53"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id11_content_0",
              "id8-0-2",
              "outputarea_id11",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2842083e-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id11_content_0\");\n",
              "//# sourceURL=js_d80b7b7dc9"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id11_content_0",
              "id8-0-2",
              "outputarea_id11",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"284312a6-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2842083e-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_a38ab058e7"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id11_content_0",
              "id8-0-2",
              "outputarea_id11",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"284392c6-968d-11e8-93d3-0242ac1c0002\"] = window[\"id11\"].setSelectedTabIndex(0);\n",
              "//# sourceURL=js_0b779198ec"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id11_content_0",
              "id8-0-2",
              "outputarea_id11",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
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VN/HR8RrYWlvilQ2h8PPmsx2J6BgVZZJOVjTj719fgJ0ND+lJofDxouVdU0RFmYTisiZ8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\nRhAXeOPpY40AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f49387f7e50>"
            ]
          },
          "metadata": {
            "tags": [
              "id11_content_0",
              "id8-0-2",
              "outputarea_id11",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2858ac88-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2840df9a-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_7013bdb6e0"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id11_content_0",
              "id8-0-2",
              "outputarea_id11",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"285a77d4-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_ff923bf38c"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id11_content_1",
              "id8-0-2",
              "outputarea_id11",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"285ad2b0-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id11_content_1\");\n",
              "//# sourceURL=js_40a38531e6"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id11_content_1",
              "id8-0-2",
              "outputarea_id11",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"285b5ac8-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"285ad2b0-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_5c2229dc1d"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id11_content_1",
              "id8-0-2",
              "outputarea_id11",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"285bac9e-968d-11e8-93d3-0242ac1c0002\"] = window[\"id11\"].setSelectedTabIndex(1);\n",
              "//# sourceURL=js_a6b9f0b82d"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id11_content_1",
              "id8-0-2",
              "outputarea_id11",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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/D5bPcczVBESj/ExYkDfJsyKpbe4iu1DEcVvrWGYZ/caBuGs3veP+uDlu5Ta0eWkCep2G\nI+dLMJrEqjJWTW09/OdKFaGBnqTMilS6HKuIRnmIkABPls+OpqG1h8yCWqXLcVhHs0oxmiS2JCsT\nUConx67ehjYujcdNr+XI+RL6jWJVGa3apk7OXa0hPNibxTOUCSiVk2iURwj09WDVvGia23s5e8Vx\nPhGtFp+fvInJLLEtJRGd1vF/zBz/v8CG1i8eeDvzaFapCE4dhZqmTs7kVxAd6sOCacoFlMpJNMow\n/L3dSUuKoc3Qx7eZYsuwpQ6fK8EswbaU8U7z0FY0ygjWLozDy0PHwR9u0dMnglNHUllvIPd6PRNi\nApg3WdmAUjmJRhmBr5cbaxbE0Wbo43sRnDqi9Ltx18+snaqKSDm5iEaxwOqkWPy83TieU05Xj1hV\nHqWstoOLRQ1MiPInaZrjv9N1L9EoFvD21LN9xUQ6e4ycyhPBqY8yGFC6TSUBpXISjWKhTSnj8fN2\n42RuOYZuEcf9oNtVbVwtbmJybCDTVRJQKifRKBby8tCzcXE83b0mTlwQwakPGhzOsX1ZotOtJiAa\nZVRWzI0m0Hcgjru9U8RxD7pZ3sK10hZmJAQxJc75VhMQjTIq7m53g1P7zXwjglOBByLlVBR3LTfR\nKKO07LEoQvw9OH2pipYOEcd9rbSFoso2Zk8IYUJUgNLl2IxolFFy02vZnJxIv9HMsaxSpctRlCRJ\nHFJxQKmcRKOMwdKZEYQFevGfy9U0trlucOqV4iZKatqZPyWU+Ah1DuGTi2iUMdDrtGxJScBkljjq\nosGpZkki/ewdNKg3oFROVk+zH/T++++ze/duWYtTs8XTI4gM8ebc1VrqR5h+6Ywu3mygvN7Aounh\nRIeqL+5ablZPswe4ffs2ubm5NilQrbRaDVvvBqceOV+qdDl2NRhQqtGg6oBSOVk1zX7Qu+++y+9+\n9zvbVKhiSVPDiAn1Jauwlpom1wlOvXB9ICh26cwIIoLVG1AqJ6um2QMcOnSIhQsXEh1t2SgatU2z\nH42H1fXcpun8308ucDy3kv+9O0mBqux7v0wmM0ezytBpNfyvzTMJDXl0LrwjfR9HYtU0+9bWVg4d\nOsQnn3xCXZ1lo33UOM3eEo+qa3yYDwkRfmRcriJtXjSxYfb9fd3e9yvjajXVjZ2smBOFzmx+5LUd\n7ft47/GHsWqafXZ2Ns3NzTzzzDP85je/obCw8KGvYZyZK0XcGU1mvj5fOhBQujRB6XLsasQVZXCa\n/T//+c+fTbNft24d69atA6CyspLXX3+dN954wzaVqtjMxGAmRgdw6VYjpbXtJET4K12STZy7WkNj\nWw9p82MI9vdUuhy7snqavXB3VVmWyH9/cZmvzpbwuydnK12S7PqNJr7OLMVdr2XjEseJlJOL1dPs\nB8XExPDpp5/KUpQjmpYQzNS4QH6808TtqjYmRjvX557OXK6mpaOXdYviCPBVf9y13MSTeRkNvlYZ\n/DSts+jtN3EsqwwPdx3rF8UpXY4iRKPIaFJMIDMTg7le1sKNshaly5HNDxcrae/sY3VSDH7ejhF3\nLTfRKDIbWlWcJOKuu9fIt9nleHnoWbvQNVcTEI0iu8RIf+ZMHMetyjYKSxw/OPW7vAoM3f2sXRiL\nj4MFlMpJNIoNbFs28PknR19Vunr6OXGhAl8vN1YnxSpdjqJEo9hAXLgfSVPDKKnp4MrtJqXLGbMT\nFyro6jWyflEcXh6OF1AqJ9EoNrL1njhuswOuKh1dfZzMq8Df241V8xwv7lpuolFsJHqcD4tnhFNR\nb+DizQalyxm14znl9PaZ2LgkAQ93xwwolZNoFBvakpKIVqMZWFXMjrOqtBl6+T6/kiA/D1bMjVK6\nHFUQjWJD4UHeJM+KoKapi5zrjhOceiy7jL6hgFKxmoBoFJvbfDeO+/A5x4jjbm7v4cylasYFeLLs\nMccOKJWTaBQbGxfgRersKOpbusn8Uf3BqUezyjCazHeTkcWPxyBxJ+xg090fuiPnS1Udx93Q2k3G\nlWrCgrxYOitC6XJURTSKHQT5ebBybjRN7T1kqDg49evzpZjMEludJKBUTuJu2MmGJfG4u2k5mlVG\nv1F9wal1zV1kFtQSNc6HRU4WAiQH0Sh2EuDjzi/mx9DS0cuZS+pbVQ6fL8EsDcRda7XOF9tgLdEo\ndrR+UTye7jqOZZXS26eeVaWqwUBOYR2xYb7MmxKqdDmqJBrFjgaCU2Np7+rnh4vqCU49fDegdPsy\n54m7lptoFDtbsyAWbw8932SX0d2rfHBqeV0HeTcbSIz0Z/bEEKXLUS3RKHbm7enG2kVxqglOTc8o\nAZw3Uk4uVg/pzs7O5sknn2Tnzp28/vrrmB3g6bPS0ubH4OvlxokLFXT2KBeceqe6ncu3G5kUE8CM\nxGDF6nAEVg/pfvPNN/nrX//KF198QWdnJxkZGTYr1ll4eejZsDie7l6josGpXw0FlDpf3LXcrB7S\nfejQISIiBp7iBgcH09LiPEMVbGnlvGgCfNw5lVdJR5f9g1OLKlopLGlmWnwQU50w7lpuIzbKSEO6\nfX0HZu3W19dz/vx5li9fbqNSnYuHm46NS+Lp7TPxbY59V5V7A0q3O3FAqZysGtI9qKmpiV/96lfs\n3buXoKDh/+/kbNPsrfF42hRO5lbww8Uqnl43jaAxjikdbV1Xihq4WdHK/KlhLJlju92LzvR9tKhR\nBod079+//74h3QAGg4EXX3yRV155hZSUlBHP5WzT7K21YUk8/3P8Jv9ztJCnV0+2eV2SJPHJ0QIA\nNi6Os9m9dtTv45in2Q8O6f7oo49+NqQbBkKEnnvuOVJTU0dRrjAoZVYk4wI8OXO5iub2Hptf78c7\nTRRXtTN30jinHSZuC1YN6U5JSSE9PZ2ysjIOHjwIwKZNmyyaVSwM0Ou0bE1J5MCx6xzNLOXZdVNt\ndi1JkvgqowQNA+90CZazekh3QUGBrAW5osUzwjmaVUbG1RrWL44nNNDLJte5dKuRstoOFk4LI8bO\ngUeOTjyZVwGdVsvWu3HcR86X2OQaZkniq4w7aDQDo5SE0RGNohILp4UTHepDZkEttc3yx3Hn3ain\nqqGTJTMiiBwmd1F4ONEoKqHVaNiWkogkDXyaV04ms5n0jBK0Gg1bkhNkPberEI2iIvMmhxIX7suF\na3VUNhhkO292YR21zV2kPBZJWJBrxF3LTTSKigxE3I1HQr5VxWgyc+R8CXqdhs0uFlAqJ9EoKvPY\nhBDGR/mTf7OBslrrH9id/7GGhtYeUmdHERLgWgGlchKNojJyxnH3G818nVmKm17LxiUJMlTnukSj\nqND0+CAmxwZypbiJ4qq2MZ/n7JVqmtt7WTk3miA/1wsolZNoFBUajOOGsa8qff0mjmaV4uGmY8Ni\n14u7lptoFJWaEhfEjIQgCktbuFk++j0+py9V0WboIy0pBn8f1wwolZNoFBXbNhScWjKqiLuePiPH\nssrw8tC5dECpnESjqNiEqABmTwihqKKVa6OI4/4+vxJDdz9rFsTh6+W6AaVyEo2ictvufso3/axl\nwaldPUaO55Tj46l3+YBSOYlGUbn4CD/mTw6luLqdq8UjB6eezC2ns8fIukVxeHu6dkCpnESjOICt\ny34KTh1uVTF093MqrwI/bzd+MV8ElMpJNIoDiAn1ZeH0cMrrDFwsenRw6vGccrp7TWxYHI+nu1hN\n5CQaxUFsTUlEo4H0cyUPjeNu7+zju/wKAnzdWTk3WoEKnZtoFAcREezN0pkRVDV0knu9/mfHv8ku\no6/fzKYlCbi7iYBSuYlGcSBbkhPRaTWkPxCc2tLRy+lLVQT7e5A6W8Rd24JoFAcSGujFssciqWvu\nIrvwpzjuY1ml9BvNbElOxE0vvqW2IO6qgxkITh2I4zaazNQ3d/Gfy9WEBnqydKYIKLUVi94a2bdv\nH/n5+RiNRl5++WXWrFkzdCwzM5MPPvgAnU5Hamoqe/bssVmxAgT7e7JiTjTf5Vdy7scaalt6hgJK\nRdy17YzYKPdOs29paWH79u33Ncrbb7/NgQMHCA8PZ9euXaxdu5aJEyfatGhXt3FJPGevVJOeUYKh\nu5/IEG8WTxeriS1ZNc2+oqKCgIAAIiMj0Wq1LF++nKysLNtWLBDg68GqeTG0d/ZhvruaiIBS2xpx\nRRlumn1DQwPBwT8F0AQHB1NRMXyKlBjSLY9dG6eTcbWa8BAf1qdMUGWjqOl+3ctmQ7ph+Gn2oyGG\ndMvn/zy/kOjIAJqa5JvYIhc13i+w4ZBu+Gma/ccff3zfNPuwsDAaGxuH/lxXV0dYWJilNQtWCvb3\nxNdbbMqyB6um2cfExGAwGKisrMRoNHL69GmSk5NtVqwgKMWqafarV6/mrbfe4tVXXwVgw4YNJCaK\nubaC89FIo9ljKoORfm911N9tlSLqGh2bvkYRBFcnGkUQLGD3X70EwRGJFUUQLCAaRRAsIBpFECwg\nGkUQLCAaRRAsIBpFECygWKO888477Nixg507d3L16tX7jmVmZvLEE0+wY8cO/v73v6umrlWrVvH0\n00+ze/dudu/eTV1d3SPOYhtFRUWkpaXx73//+2fHlLxnw9Wl5D3bt28fO3bs4PHHH+fkyZP3HRv1\n/ZIUkJOTI7300kuSJEnS7du3pSeffPK+4+vXr5eqq6slk8kkPfXUU9KtW7dUUdfKlSslg8Fgl1oe\n1NnZKe3atUv64x//KH366ac/O67UPRupLqXuWVZWlvTLX/5SkiRJam5ulpYvX37f8dHeL0VWlKys\nLNLS0gCYMGECbW1tGAwDeyqU3DU5XF1Kc3d35+OPP37oNgYl79lwdSlJ7p25ijRKY2MjQUFBQ38O\nDg6moWFgVOjDdk0OHlOyrkF79+7lqaee4r333htVZom19Ho9np4PDytV8p4NV9cgJe7ZaHfmjnS/\nVDGg1p4/cKPxYF2//e1vWbZsGQEBAezZs4cTJ06wbt06hapzDErfM7l25iqyojy4M7K+vp7Q0NCH\nHrPnrsnh6gLYtm0bISEh6PV6UlNTKSoqsktdI1HzTlMl75mcO3MVaZTk5GROnDgBQGFhIWFhYfj6\n+gLK7pocrq6Ojg5eeOEF+vr6AMjNzWXSpEl2qWskat1pquQ9k3tnrmKfHn7vvffIy8tDo9Gwd+9e\nrl27hp+fH6tXryY3N5f33nsPgDVr1vDCCy+ooq5//etfpKen4+HhwfTp0/nTn/6ERmOf6ScFBQX8\n13/9F1VVVej1esLDw1m1ahUxMTGK3rOR6lLqnn355Zf87W9/u2/H7b07c0d7v8TH7AXBAuLJvCBY\nQDSKIFhANIogWEA0iiBYQDSKIFhANIogWEA0iiBYQDSKIFjg/wNZkIaLT6ihTgAAAABJRU5ErkJg\ngg==\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f49387f7d10>"
            ]
          },
          "metadata": {
            "tags": [
              "id11_content_1",
              "id8-0-2",
              "outputarea_id11",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2871632c-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"285a77d4-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_06867c9c92"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id11_content_1",
              "id8-0-2",
              "outputarea_id11",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2874b6e4-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"283aedec-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_8662830ca5"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-2",
              "outputarea_id8"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2877ca14-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_c3437fe960"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-3",
              "outputarea_id8"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2878421e-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id8-0-3\");\n",
              "//# sourceURL=js_a74fb78b14"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-3",
              "outputarea_id8"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2878c856-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2878421e-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_1e5abc980d"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-3",
              "outputarea_id8"
            ]
          }
        },
        {
          "output_type": "stream",
          "text": [
            "---- top ---\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<link rel=stylesheet type=text/css href='/nbextensions/google.colab/tabbar.css'></link>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-3",
              "outputarea_id12",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<script src='/nbextensions/google.colab/tabbar_main.min.js'></script>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-3",
              "outputarea_id12",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div id=\"id12\"></div>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-3",
              "outputarea_id12",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"287c9c7e-968d-11e8-93d3-0242ac1c0002\"] = colab_lib.createTabBar({\"contentBorder\": [\"0px\"], \"borderColor\": [\"#a7a7a7\"], \"tabNames\": [\"a\", \"b\"], \"initialSelection\": 0, \"location\": \"top\", \"contentHeight\": [\"initial\"], \"elementId\": \"id12\"});\n",
              "//# sourceURL=js_480369388c"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-3",
              "outputarea_id12",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"287d156e-968d-11e8-93d3-0242ac1c0002\"] = window[\"id12\"].setSelectedTabIndex(0);\n",
              "//# sourceURL=js_1b8be0c5d7"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id8-0-3",
              "outputarea_id12",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"287f10da-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_f0b5cf8360"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id12_content_0",
              "id8-0-3",
              "outputarea_id12",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"287f707a-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id12_content_0\");\n",
              "//# sourceURL=js_7186ad835f"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id12_content_0",
              "id8-0-3",
              "outputarea_id12",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"287ff04a-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"287f707a-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_a2b3618ed4"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id12_content_0",
              "id8-0-3",
              "outputarea_id12",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"28804220-968d-11e8-93d3-0242ac1c0002\"] = window[\"id12\"].setSelectedTabIndex(0);\n",
              "//# sourceURL=js_e5747e1148"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id12_content_0",
              "id8-0-3",
              "outputarea_id12",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
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VN/HR8RrYWlvilQ2h8PPmsx2J6BgVZZJOVjTj719fgJ0ND+lJofDxouVdU0RFmYTisiZ8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\nRhAXeOPpY40AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f4938d2e3d0>"
            ]
          },
          "metadata": {
            "tags": [
              "id12_content_0",
              "id8-0-3",
              "outputarea_id12",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"28940bb6-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"287f10da-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_a6ed9d57f8"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id12_content_0",
              "id8-0-3",
              "outputarea_id12",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"289643ea-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_edfb4aa4e1"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id12_content_1",
              "id8-0-3",
              "outputarea_id12",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2896d030-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id12_content_1\");\n",
              "//# sourceURL=js_d1f3354522"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id12_content_1",
              "id8-0-3",
              "outputarea_id12",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"28972d64-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2896d030-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_d0858c8ca6"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id12_content_1",
              "id8-0-3",
              "outputarea_id12",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"28978502-968d-11e8-93d3-0242ac1c0002\"] = window[\"id12\"].setSelectedTabIndex(1);\n",
              "//# sourceURL=js_71f54cb5d8"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id12_content_1",
              "id8-0-3",
              "outputarea_id12",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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/D5bPcczVBESj/ExYkDfJsyKpbe4iu1DEcVvrWGYZ/caBuGs3veP+uDlu5Ta0eWkCep2G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\ngg==\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f4938d2e350>"
            ]
          },
          "metadata": {
            "tags": [
              "id12_content_1",
              "id8-0-3",
              "outputarea_id12",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"28acf234-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"289643ea-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_50759538f2"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id12_content_1",
              "id8-0-3",
              "outputarea_id12",
              "outputarea_id8",
              "user_output"
            ]
          }
        },
        {
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      "source": [
        "### TabBar.clear_tab\n",
        "\n",
        "Like Grid, Tabbar supports clearing individual tabs."
      ]
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      "cell_type": "code",
      "source": [
        "t = widgets.TabBar([\"hi\", \"bye\"])\n",
        "with t.output_to(0):\n",
        "  print(\"I am temporary\")\n",
        "  t.clear_tab()  # clears current\n",
        "  print(\"I am permanent\")\n",
        "\n",
        "with t.output_to(1):\n",
        "  print(\"Me too temporary\")\n",
        "\n",
        "# Cler works outside of with statement\n",
        "t.clear_tab(1)\n",
        "\n",
        "with t.output_to(1):\n",
        "  print(\"1/2 Me is permanent\")\n",
        "with t.output_to(1):\n",
        "  print(\"2/2 Me too is permanent\")"
      ],
      "execution_count": 0,
      "outputs": [
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              "//# sourceURL=js_20d90adac3"
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              "//# sourceURL=js_767b910fd7"
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              "//# sourceURL=js_db14d6d3f1"
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      "metadata": {
        "colab_type": "text",
        "id": "BZa2t-U5gIAB"
      },
      "cell_type": "markdown",
      "source": [
        "### Populating in the background\n",
        "\n",
        "Sometimes it is handy to display output into tabbar without actually switching\n",
        "to it. Remember that when the tabbar is rendered on notebook load, it will\n",
        "essentially replay all the outputs of each tab, so if there many tabs it will\n",
        "visibly switch among them. To avoid this, provide the optional `select` flag to\n",
        "`output_to`.\n",
        "\n",
        "```python\n",
        "tb = TabBar(['foreground', 'background'])\n",
        "with tb.output_to('background', select=False)\n",
        "  ... # output goes here\n",
        "```\n",
        "\n",
        "Actual example:"
      ]
    },
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",
              "headers": [
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              ],
              "ok": true,
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 387
        }
      },
      "cell_type": "code",
      "source": [
        "from matplotlib import pylab\n",
        "from google.colab import widgets\n",
        "tb = widgets.TabBar([str(i) for i in range(16)])\n",
        "for i in range(16):\n",
        "  # Only select the first 3 tabs, and render others in the background.\n",
        "  with tb.output_to(i, select=(i < 3)):\n",
        "    pylab.plot([1, i, 3])\n",
        "    pylab.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<link rel=stylesheet type=text/css href='/nbextensions/google.colab/tabbar.css'></link>"
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              "<IPython.core.display.HTML object>"
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          "metadata": {
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          "data": {
            "text/html": [
              "<script src='/nbextensions/google.colab/tabbar_main.min.js'></script>"
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          "metadata": {
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          "data": {
            "text/html": [
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          },
          "metadata": {
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            "text/plain": [
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              "//# sourceURL=js_0d52495945"
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            "text/plain": [
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          "metadata": {
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              "//# sourceURL=js_a961312058"
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A7MUQ+gcGse2Ta7jf3Y/Nz0/E1FifUT+mpeyXsepjRCF89uxZ7Ny5E++//z6cnP5RmEql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\nTkSuQmCC\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f493ae2a810>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_0",
              "outputarea_id14",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"299fe106-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"29745d74-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_8bc5c2b483"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_0",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"29a3afde-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_ba01371f8f"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_1",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"29a44192-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id14_content_1\");\n",
              "//# sourceURL=js_3e7c8b7d28"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_1",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"29a502ee-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"29a44192-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_166f8a0c67"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_1",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"29a58476-968d-11e8-93d3-0242ac1c0002\"] = window[\"id14\"].setSelectedTabIndex(1);\n",
              "//# sourceURL=js_34bfe57583"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_1",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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JlT5AvbTE1yeqeG3T+euZF/3rYOy26DZ5n+9pnwSm9uqlRTNnX/bs2UOfPn2I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\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f4938a8ff90>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_1",
              "outputarea_id14",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"29c1c9e2-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"29a3afde-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_1768337574"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_1",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"29c3b3d8-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_58859557eb"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_2",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"29c41652-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id14_content_2\");\n",
              "//# sourceURL=js_0278d0f254"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_2",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"29c46756-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"29c41652-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_6034e7dcd2"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_2",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"29c4c5ca-968d-11e8-93d3-0242ac1c0002\"] = window[\"id14\"].setSelectedTabIndex(2);\n",
              "//# sourceURL=js_e57b03bd16"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_2",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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0C+vt6tJE5AopnEW8QHVdE+/lHWZvYQUBfr48OD2RyTdqWhbxVApnEQ9mGAY/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\n5v8BbMnVOnRl5swAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f4938a87d90>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_2",
              "outputarea_id14",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"29e4181c-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"29c3b3d8-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_ff567f42ea"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_2",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"29e8fd1e-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_7063893b41"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_3",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"29e946ca-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id14_content_3\");\n",
              "//# sourceURL=js_d308c8b029"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_3",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"29ea3170-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"29e946ca-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_f949611dd9"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_3",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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Ev+0vhI+XCimzYqBScs5MRF3H4SvnvXv3wmg0YuXKlfZlo0ePRlRUFBITExEfH4958+bB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\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f4938c50910>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_3",
              "outputarea_id14",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a04e1be-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"29e8fd1e-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_699f046b19"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_3",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a069bf8-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_f87665a4cc"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_4",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a06e888-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id14_content_4\");\n",
              "//# sourceURL=js_b4899501fc"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_4",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a073ec8-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2a06e888-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_dd24a379ac"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_4",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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zwv1csHo+X40hItPAEiaTV1l3D5+eKoeTvRU2r4riHJiITAZLmExad68Ouw8V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\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f4938bee890>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_4",
              "outputarea_id14",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a2361ca-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2a069bf8-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_7e4fedc042"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_4",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a256c7c-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_deaa01dd87"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_5",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a25c5f0-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id14_content_5\");\n",
              "//# sourceURL=js_899ced2330"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_5",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a263b52-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2a25c5f0-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_55b92dd4a9"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_5",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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kEgnihvggop8LNuzKw9lLVcgvuomnxwYhOtTD4K+2RcaPnTCRFpXXNGPjNxdgaSHDosRw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\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f495b362410>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_5",
              "outputarea_id14",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a43fffc-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2a256c7c-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_185f2b1f5f"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_5",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a461ddc-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_61801817ba"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_6",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a4673cc-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id14_content_6\");\n",
              "//# sourceURL=js_4149267e71"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_6",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a46ea00-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2a4673cc-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_4a0c691c65"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_6",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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iqrMHJg7sIjoOERlJgJcTlsyLR68wL2RcrcGyDSkoKm8UHcuksGTpnly5Xo+v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\nRGQgLFkiIiIDYckSEREZCEuWiIjIQP4fXlaMqbwVJg8AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f493895ee10>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_6",
              "outputarea_id14",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a61b420-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2a461ddc-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_2f214cf8f9"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_6",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a656d40-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_cedaa6944c"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_7",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a66534a-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id14_content_7\");\n",
              "//# sourceURL=js_4ca709cd71"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_7",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a66f5ac-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2a66534a-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_68b51d3ef1"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_7",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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ODvhixzl8/8tFXgCeLAJLluh3Gpq0WJ58bQ47Z1wsPN0cRUeiVooI9sDCxAT4ezlhy6FL\n+HR7NvfSknAsWaJfSZKET3/IRkV1E0b364BYzmGtTqC3CxYm9kaHIHccOFOMj747i2YNLwBP4rBk\niX71U1oRUnPKERXmhfH9O4iOQ7fJ01WFl2fEI66jD85cqMTSL9NQ06ARHYvsFEuWCEB+SS2+/uk8\n3JyvzWEVvNKUVXNSKfHsg91xb1wQ8oprsSgpFWUmvtY1UWvwnYTsXkOTDsuT06HTS5gzNgbe7pzD\n2gKlQo7HR0djdN/2KFM3YlFSKi6V1IiORXaGJUt2TZIkfPZjNsquNmLUPe3RraOv6EhkQjKZDA8O\njMSs4VGobdBiyfqTSL9YKToW2RGWLNm17Ycv4UR2GTqFemLiAO6HtVVDeoXiyYndoDdI+GDTGRw8\nWyw6EtkJlizZrcultVi9OR1uzg6YzzmszUvo4o8Xp/WEk0qBNduysO3wJe6lJbPjuwrZpcbma3NY\nrc6AJ8ZEw8fDSXQkagNRYV54ZVYCfDwc8e3PF7F+Vw4MBhYtmQ9LluyOJEn4Ysc5lKobMWlQJ3SP\n9BMdidpQiJ8rXkvsjVB/V/yUVoTlyenQaLmXlsyDJUt255fTV3A0sxSRIR5IHBUtOg4J4O3uiFdm\nJqBruBdSc8rxztenUN+kFR2LbBBLluxKQVkdNuw+D1cnJeaPi4NSwUPAXrk4KfG3KT1xV3QAzhdW\n4+11aaisbhIdi2wM32HIbjRp/jeHfXx0NHw9OYe1dw5KOeaOi8XwPmG4UlGPRetSUVhWJzoW2RCW\nLNkFSZKQtOMcSqoaMLxPGOI7+4uORBZCLpNh2v2dMWVwJ6hrm/H2+lRk56tFxyIbwZIlu3DgTDEO\nZ5QiItgDDw2KFB2HLNADd4dj7rgYaLQGvPvNKRzLKhUdiWwAS5ZsXlF5HdbvyoGLoxLzx8dyDks3\ndU9MEP42pQeUCjlWbs7AruMFoiORleO7Ddm0Zo0e/01Oh+bXOay/l7PoSGThYjr44JWZveDhqsKX\ne87jm59yYeBJK+g2sWTJpq3bdQ7FlQ0YmhCKXlGcw1LrhAe647XEBAT5uODHY5exemsmLwBPt4Ul\nSzbr4NliHDxbgvZB7pg8uJPoOGRl/LycsTAxAZEhHjiSUYr3vjmNxmad6FhkZViyZJOuVNQjaec5\nODsqsGBCHByU/F+dbp2bswNenBaPnp38kJWvxpL1abha1yw6FlkRvvOQzWnW6rF8czo0WgMeGxmN\nAM5h6Q44Oijw1KQ4DOrZDpfL6rAoKRXFlfWiY5GVYMmSzflydw6KyusxuFcIencNEB2HbIBCLkfi\niC6YeF8EKqqbsCgpFblF1aJjkRVgyZJNOZxRgl9OFyM8wA3ThnAOS6Yjk8kw9t4IPDayKxqb9Vj2\n5UmcPF8uOhZZOJYs2Yziynp88eM5OKp+m8MqREciG3Rfj3Z49qFugAz46Luz2HeqSHQksmAsWbIJ\nGq0ey5Mz0KzV49EHuiLQx0V0JLJh3SP98PL0XnB1csAXP55D8v6LvAA83RBLlmzCV3vOo7C8DoN6\ntsPdMYGi45Ad6NjOA68lJsDfywkpBy/hs+3Z0Bu4l5b+iCVLVu9YVin2nbqCUH83TLu/s+g4ZEcC\nfVywMLE32ge5Y/+ZYnz47Vk0a3gBePofoyV79OhR3HPPPUhMTERiYiLefPPNtshF1Cql6gZ8tj0b\njg4KLJgQC5UD57DUtjxdVfj7jHjERfjgzIVKLP3yJGoaNKJjkYVQtuZOd911F/7zn/+YOwvRLdHq\n9FienI4mjR5zxsYg2NdVdCSyU04qJZ59qDs+256NQ+kleDspFX+b2hP+/u6io5Fg/LiYrNbXP+Xi\ncmkd7usejL6xQaLjkJ1TKuSYPToao/u2R6m68dpe2sKromORYK0q2dzcXMyfPx/Tp0/HwYMHzZ2J\nyKgT2WX4Ka0IIf6umDEsSnQcIgDX9tI+ODASM4dFobZeg4X/PYD0vErRsUggmWTk985LS0uRmpqK\nkSNHoqCgAA8//DB27twJlUp1w/vrdHoouT+RzKi4oh7Pv7cPeoOE954fiLBAfiRHlufQmStYtj4V\nBoOEZ6fGY0jvMNGRSACjJftnDz30EN577z2Ehd34f5jy8lqTBPuNv7+7yZ9TFK7lzml1Bixal4r8\nklrMHh2Ne7sF39Hz8TWxTLaylrJaDf7f6iNoaNbhoUGRGHl3OGQymehYt8VWXhPA9GtpafZu9OPi\nlJQUrFmzBgBQXl6OyspKBAZyHyKJsXFvLvJLanFvt6A7Llgic4vt6ItXExPg4+GITfsuYMOu8zAY\neNIKe2K0ZIcMGYLjx49jxowZePLJJ/Gvf/3rph8VE5lT6rly7E4tRDs/V8wa1kV0HKJWCfFzxcJZ\nCQjxd8WetEIs35wOrY57ae2F0S08bm5uWLFiRVtkIbqpiquN+PSHLKiUciwYHwtHFef+ZD18PJzw\n6sxe+Oi7s0g9V4536k/hmYe6w9XJQXQ0MjNu4SGLp9MbsHxzBhqadZg5LAoh/m6iIxHdMhcnB/xt\nSk/06RqAnMJqvL0uDVU1TaJjkZmxZMnibdp3AXnFNegbG4j+3TmHJevloJRj3vhYDO0diisV9Xgr\nKRWF5XWiY5EZsWTJop06X4GdxwsQ5OOCxBFdrPY3M4l+I5fJMP3+zpgyuBPUtc14e10azl1Wi45F\nZsKSJYtVWd2ENdsy4aCUY8GEODipWnUWUCKLJ5PJ8MDd4ZgzNgYarR7vfH0Kx7PLRMciM2DJkkXS\n6Q1YsTkd9U06TB/aGWEBnMOS7ekbG4Tnp/SAUiHHiuR07DpRIDoSmRhLlizSd79cxIUrNbg7JhAD\ne7QTHYfIbGI7+OCVmb3g4arCl7vPY+PeXBh4AXibwZIli3M6twI/Hr2MQG9nPMw5LNmB8EB3vJaY\ngCAfF2w/ehmrt2ZCp+cF4G0BS5YsSlVNE9Zsy4JScW0O6+zIOSzZBz8vZ7w6qxci23ngSEYp3t94\nGo3NOtGx6A6xZMli6A0GrEzJQF2jFtPv74Rwnvif7Iy7iwovTo9Hz05+yLykxpINaaiuaxYdi+4A\nS5YsRvL+PJwvrEbvrgEYFB8iOg6REI4OCjw1KQ4De7bD5dI6vJWUiuLKetGx6DaxZMkipF+sxLbD\n+fD3csKjD3TlHJbsmkIux8MjumDCfRGoqG7C2+vScKGoWnQsug0sWRJOXduMVVszoVTIsGBCHFyc\nOIclkslkGHdvBB4d2RUNTTr8+8uTOHW+QnQsukUsWRJKbzDgk5QM1DZoMWVwJ3QI8hAdiciiDOjR\nDs882A2QAR9+dwY/nyoSHYluAUuWhNp84BLOFVxFQpQ/7k8IFR2HyCL16OSHl6f3gquTAz7/8RyS\n91+ExL20VoElS8JkXKrCtkOX4OfphMdGcQ5L1JKO7TywMDEBfp5OSDl4CZ//mA29gXtpLR1LloS4\nWteMVSkZkMt/m8PyuppExgT5uOC1h3ujfaA7fjldjI++PYtmDS8Ab8lYstTmDAYJn6RkoKZBi8mD\nOyEimHNYotbydFXh5RnxiI3wwekLlfj3VydR26ARHYtugiVLbW7LoUvIvnwV8Z39MKw357BEt8rZ\nUYnnHuqOvrFBuHilBouSUlF+tVF0LLoBliy1qax8NVIO5MHXwxGPjYrmHJboNikVcjwxJhqj+7ZH\nqboRbyWlIr+kVnQs+hOWLLWZ6noNPvl1Djt/fBzcnDmHJboTMpkMDw6MxMxhUait12DxhjRk5FWJ\njkW/w5KlNmEwSFi1JQPV9Ro8ODASkSGeoiMR2Yz7E0KxYEIc9HoJ7288jcPpJaIj0a9YstQmth2+\nhMxLanSP9MXwu8JExyGyOb27BuDFaT3h6KDAqq2Z2H4kn3tpLQBLlszu3GU1kg/kwdvdEU+MiYGc\nc1gis4gK88Krs3rB290RG/ddwIbd52EwsGhFYsmSWdU0aLAyJQMyyDB/fCznsERmFuLvhtcSExDi\n74o9qYVYsTkdWh330orCkiWzMUgSVm/JxNU6DSYN7IjOoV6iIxHZBR8PJ7w6sxe6hHnhxLlyvPP1\nadQ3aUXHskssWTKb7UfykZ5XhW4dffHA3eGi4xDZFRcnB/zf1B7o3TUAOQVXsXhdGqpqmkTHsjss\nWTKLnIKr+P6XPHi5qTB7TDTnsEQCOCgVmD8+FkMTQlFUUY+3klJRWF4nOpZdYcmSydU1arEyJQMS\nJMwbFwsPF5XoSER2Sy6TYfrQzpg8OBLq2mYsXpeGc5fVomPZDZYsmZRBkrB6aybUtc2YcF9HdAn3\nFh2JyO7JZDKMvLs95oyNQbNWj3e+PoUT2WWiY9kFliyZ1M5jBThzoRKxHbwxum970XGI6Hf6xgbh\n+ck9oFDIsTw5HbtPFIiOZPNYsmQyuUXV2LTvAjxdVXhibCznsEQWKDbCB6/M6AUPVxU27D6Pjfty\nYeBJK8yGJUsmUdeoxcrN6ZAgYe64WHi6cg5LZKnaB7ljYWICAn1csP3IZazZmgmdnheANweWLN0x\nSZKwdlsWKmuaMf7eCES35xyWyNL5ezlj4axeiGzngcMZpfhg0xk0NutEx7I5LFm6Y7uOF+BUbgWi\n23tjTL8OouMQUSu5u6jw4vR49Ozkh4y8KizZkIbqumbRsWwKS5buyMUrNdi47wI8XFWYOzYGcjnn\nsETWxNFBgacmxWFAj3a4XFqHt5JSUVLVIDqWzWDJ0m1raNJixeZ0GAwS5o6Ngaebo+hIRHQbFHI5\nHnmgCyb0j0BFdRMWJaXiwpVq0bFsAkuWboskSVj7QzYqqpswpl8HxHTwER2JiO6ATCbDuP4ReHRk\nVzQ06fDvDSdxKrdCdCyr16qSbWpqwtChQ/Hdd9+ZOw9Zia0H8pCWU44uYV4Y3z9CdBwiMpEBPdrh\n6Qe7AQA+/PYMfjl9RXAi69aqkl2+fDk8PT3NnYWsRF5xDdZuyYC7iwPmjovlHJbIxvTs5IeXZsTD\n1ckBn23PRsqBPF4A/jYZLdkLFy4gNzcXgwYNaoM4ZOkamnRYsTkdOr0Bc8bEwNudc1giWxTZzhML\nExPg5+mE5AN5+HjTaegN3Et7q2SSkX+ezJ07F6+//jqSk5MREhKCSZMmtfiEOp0eSqXCpCHJMkiS\nhCVfnMDBM1cw+f7OeHhUjOhIRGRm6pom/Gv1EVwsqsZdMUF4KTEBTiql6FhWo8XvVHJyMnr27Imw\nsLBWP6Fabdpf/fb3d0d5ea1Jn1MUa1/LT2mFOHjmCqJCPTFzRFerXstvrP01+T2uxfLYyjpemNID\nq7Zl4VhmCV75cD+efag73K346lqmfl38/d1veluLJbtv3z4UFBRg3759KCkpgUqlQlBQEPr162ey\ncGQd8ktq8dWe83BzvjaHVSj4i+lE9sLZUYl/zr4H//7iGA5nlGLRujT835Qe8PdyFh3N4rVYsu+/\n//71//7www8REhLCgrVDjc06LN+cDp1ewhNjYuDj4SQ6EhG1MQelHE+MiYGXuyO2H7mMRUmpeH5y\nD7QPuvlPccR9smSEJEn4/MdslKkbMfLucHSP9BUdiYgEkclkmDyoE2YM7Yyaeg2WbEhDxqUq0bEs\nWqun188884w5c5CF+vn0FRzLKkOnEE9MHNBRdBwisgBDe4fBy80Rn2zJxPvfnMbjo6PRNzZIdCyL\nxJ9k6aYKyurw5e7zcHVSYt64WCg5hyWiX/XuGoAXpvaAykGBVVsysf1oPvfS3gDfNemGGpt1+G9y\nOrQ6A2aPjoGvJ+ewRPRHXcK98eqsXvB2d8TGvRfw5Z7zvAD8n7Bk6S8kSULSznMorWrA8D5h6NnZ\nT3QkIrJQof5ueC0xASF+rth9ohArNmdAq9OLjmUxWLL0F/vPFONIRik6tvPAQ4MiRcchIgvn4+GE\nV2f1QlSYF05kl+Hdr0+joUkrOpZFYMnSHxSW12HDrhy4OCoxn3NYImolFycHvDC1B3p38ce5gqt4\ne30aqmqaRMcSju+gdF2zRo/lyenQ6Ax4fHQ0/LjRnIhugYNSgfnj43B/QiiKyuvxVlIqisrrRMcS\niiVL163beQ7FlQ0Y2jsUvaL8RcchIiskl8swY2hnTB4UCXVtM95el4acgquiYwnDkiUAwMGzxTiY\nXoIOQe6YMriT6DhEZMVkMhlG3tMeT4yJRrNWj2VfncKJ7DLRsYRgyRKKKuqRtPMcnB0VmD8hjnNY\nIjKJfnHBeH5yDygUMixPTsfHN54JAAAXTElEQVSe1ELRkdoc303tXLNWjxXJ6dBoDXhsZDQCOIcl\nIhOKjfDBKzN6wd1VhfW7crBp3wW7OmkFS9bOrd+Vg6KKegzpFYLeXQNExyEiG9Q+yB0LExMQ6O2M\nH47kY822LOj09nEBeJasHTucXoIDZ4rRPtAdU4dwDktE5hPg5YyFiQno2M4Dh9JL8MGmM2hs1omO\nZXYsWTtVXFmPL3acg5NKgfkTYuGgVIiOREQ2zt1FhZemxaNHpC8y8qqwdMNJVNdrRMcyK5asHdJo\nr+2Hbdbq8ejIrgj0dhEdiYjshKNKgacf7IYBPYKRX1qLt744gdKqBtGxzIYla4e+3HMeheX1GBQf\ngruiA0XHISI7o5DL8cgDXTG+fwQqqpvwVlIqLl6pER3LLFiyduZoZil+PnUFYQFumH4/57BEJIZM\nJsP4/hF45IEuqG/SYumXaTidWyE6lsmxZO1IaVUDPvsxG44qBRZMiOMcloiEG9gzBM9M6g5IwIff\nnsUvp6+IjmRSLFk7odX9OofV6PHIiC4I8uEclogsQ8/OfnhpejxcnJT4bHs2Ug7k2cxeWpasnfjq\np1xcLqvDgB7BuCc2SHQcIqI/iAzxxKuzesHP0wnJB/LwxY5z0Busfy8tS9YOHMsqxd60IoT4u2L6\n0CjRcYiIbijY1xULExMQHuCGn09dwcffXdsFYc1YsjauTN2Az7Znw9FBgScnxMHRgXNYIrJcXm6O\n+PvMXojp4I1TuRVY9tVJ1DVa7wXgWbI2TKszYHlyBpo0eiSOiEKwr6voSERERjk7KvH85B64JzYQ\nF4pqsCgpFRVXG0XHui0sWRv2zd5c5JfWon+3YPSLCxYdh4io1ZQKOZ4YE4ORd4ejpKoBbyWl4nJp\nrehYt4wla6NSz5VhT2oh2vm5YuYwzmGJyPrIZTJMHtwJ04d2Rk29BovXpyHzUpXoWLeEJWuDyq82\nYu0P2VAp5VgwPhaOKs5hich6DesdhvkT4qDTG/DeN6dxJKNEdKRWY8naGJ3egBWb09HYrMPM4VEI\n8XcTHYmI6I716RqAF6b2hMpBgU+2ZOLHo5etYi8tS9bGbNp3AXnFtegbG4T+3TiHJSLb0SXcG6/O\n6gVvd0d8szcXX+3JhcHCi5Yla0NO5pRj5/ECBPu6IHFEFGQymehIREQmFervhtcSE9DOzxW7ThRg\n5eYMaHWWe9IKlqyNqKhuxJptWXBQyrFgfBycVErRkYiIzMLHwwmvzuqFqFBPHM8uw3vfnEJDk2Xu\npWXJ2gCd3oCVmzPQ0KzDzGFRCA3gHJaIbJurkwNemNYTCV38kX35KhavT4O6tll0rL9gydqA736+\niAtXanBPTCDu6845LBHZBwelAgvGx+H+XqEoLK/HW0knUFRRLzrWH7Bkrdzp3Ar8eOwyAn1ckDii\nC+ewRGRX5HIZZgzrjIcGRaKqphlvJ6Uip+Cq6FjXsWStWFVNE1ZvzYRScW0/rLMj57BEZH9kMhlG\n3dMeT4yJRrNWj2VfnULquTLRsQCwZK2WTm/AipQM1DfpMH1oZ4QHuouOREQkVL+4YDw3uTsUchn+\n+3069qQWio7EkrVWyfvzkFtYjT5dAzCoZzvRcYiILEJchC/+PjMe7i4OWL8rB9/+fEHoSStYslbo\n7MVK/HAkHwFeznh0ZFfOYYmIfqdDkAcWPtwbgd7O2HY4H2u2ZUGnF7OX1mjJNjY24rnnnsOsWbMw\nefJk7N27ty1y0U2oa5uxaksmlAoZFkyI4xyWiOgGAryc8WpiAiKCPXAovQT/2XQGTRpdm+cwWrJ7\n9+5FXFwc1q1bh/fffx+LFy9ui1x0A3qDASs3p6OuUYupQzqjfRDnsEREN+PhosLL0+PRPdIX6XlV\nWLLhJKrrNW2awWjJjho1CnPmzAEAFBcXIzAw0Oyh6MY2H8hDTmE1enfxx5BeIaLjEBFZPEeVAs88\n2A33dQ9GfkktFiWdwJXyujb7+q3+rHHatGkoKSnBihUrzJmHbiIjrwrbDuXDz9MJj46M5hyWiKiV\nFHI5Hh3ZFd7ujkg5eAmrU9KxYFxsm3xtmXQLv3aVlZWFl19+GSkpKTd9k9fp9FAqef1SU6qqacKz\n7+xFfaMWS5+5D53DvEVHIiKySieySuHppmqz91GjP8mmp6fD19cXwcHBiI6Ohl6vR1VVFXx9fW94\nf7W6waQB/f3dUV5ea9LnFOV21mIwSFj21UlU12kw/f7O8HJSWsT3w1ZeF1tZB8C1WCJbWQdgO2tp\n7+di8rX4+9/892OMzmRPnDiBtWvXAgAqKirQ0NAAb2/+JNVWUg7mIfvyVcR39sPQ3qGi4xAR0S0w\nWrLTpk1DVVUVZsyYgblz5+Kf//wn5HJur20LWZeqsOXgJfh6OOHx0ZzDEhFZG6MfFzs5OeGdd95p\niyz0O9V1zVi5JRNyuQzzJ8TC1clBdCQiIrpF/JHUAhkMEj7Zkomaeg0eHBiJyHaeoiMREdFtYMla\noK2HLyErX42enfww4q4w0XGIiOg2sWQtzLnLamw+kAcfD0fOYYmIrBxL1oLU1GuwIiUDMsgwf1wc\n3Jw5hyUismYsWQthkCSs2pqJ6joNHhzYEZ1COYclIrJ2LFkLsf1IPjLyqtCtoy9G3B0uOg4REZkA\nS9YC5BRcxfe/5MHb3RFPjImGnHNYIiKbwJIVrLZBg5UpGQCAeeNi4e6iEpyIiIhMhSUrkEGSsGZb\nFtS1zZhwXwSiwrxERyIiIhNiyQq04+hlnLlQidgIH4zq2150HCIiMjGWrCC5hdX49ueL8HRTYc6Y\nGM5hiYhsEEtWgLpGLVakpEOChPnjYuHhyjksEZEtYsm2MUmSsHZbFqpqmjG+fwS6hPOygUREtool\n28Z2Hi/AqdwKRLf3xpi+HUTHISIiM2LJtqFz+VXYtO8CPFxVmDsuFnI557BERLaMJdtG6pu0WJp0\nAgaDhLljY+DJOSwRkc1jybaB3+awZepGjL23A2I6+IiOREREbYAl2wZ2pxbi5PkKdIv0w7h7I0TH\nISKiNsKSNbO84hp881MuPFwc8OKsBM5hiYjsCEvWjBqatFienA6DQcKcsbHw8XASHYmIiNoQS9ZM\nJEnCp9uzUVHdhNH92iM2gnNYIiJ7w5I1k5/SipB6rhxRoZ4Y359zWCIie8SSNYP8klp8/dN5uDk7\nYN74OCjk/DYTEdkjvvubWGOzDsuT06HTS5gzNgbe7o6iIxERkSAsWROSJAmf/5iNsquNGHlPOLp1\n9BUdiYiIBGLJmtDPp67gWFYZOoV4YuJ9HUXHISIiwViyJnK5tBYbdp+Hq5MS88fHQqngt5aIyN6x\nCUzgf3NYA2aPieF+WCIiAsCSvWOSJCFpxzmUqhvxwF3h6NnJT3QkIiKyECzZO7T/TDGOZJYisp0H\nJg3kHJaIiP6HJXsHCsvqsH5XDlydlJjHOSwREf0JW+E2NWl0WL45HVqdAY+Pioafp7PoSEREZGFY\nsrdp3c4cFFc2YFjvMMRH+YuOQ0REFoglexsOnCnGofQSRAS7Y/LgSNFxiIjIQrFkb1FReR3W7TwH\nZ0cl5o+P4xyWiIhuig1xC5o1eizfnAGNzoDHR3WFvxfnsEREdHPK1txp6dKlSE1NhU6nw7x58zB8\n+HBz57JI63fl4EpFPe5PCEVClwDRcYiIyMIZLdkjR47g/Pnz+Prrr6FWqzFx4kS7LNlD6cU4cLYY\n7YPcMWVwJ9FxiIjIChgt2T59+qB79+4AAA8PDzQ2NkKv10OhUJg9nKUorqxH0o4cODsqsGB8LByU\n/JSdiIiMM9oWCoUCLi4uAIBNmzZhwIABdlWwGq0ey5PT0azV49GR0QjwdhEdiYiIrIRMkiSpNXfc\nvXs3Vq5cibVr18Ld3f2m99Pp9FAqbaeEP9p4CjuO5GNkvw548sEeouMQEZEVadUvPu3fvx8rVqzA\n6tWrWyxYAFCrG0wS7Df+/u4oL6816XO21pHMEuw4ko/wADdM6Nf+jnOIXIup2cpabGUdANdiiWxl\nHQDXYuz5bsZoydbW1mLp0qX47LPP4OXlZbJQlq6kqgGf/3gOjioFFkyIg4MN/XRORERtw2jJ/vDD\nD1Cr1Xj++eev/92SJUvQrl07swYTSav7dQ6r0WPuuBgE+nAOS0REt85oyU6dOhVTp05tiywW48s9\nuSgoq8PAnu1wT0yQ6DhERGSluBflT45llWLfySKE+rth+v2dRcchIiIrxpL9nVJ1Az7bng1HBwUW\nTIiFyoFzWCIiun0s2V9pdQasSM5Ak0aPh0d0QbCvq+hIRERk5Viyv/rmp1zkl9aif/dg9I3jHJaI\niO4cSxbAiewy7EkrRIifK2YOixIdh4iIbITdl2zZ1UZ8uj0bKgc55k+IgyPnsEREZCJ2XbI6vQEr\nN6ejsVmHWcO6IMSPc1giIjIduy7ZjXsvIK+4Fv3igtC/e7DoOEREZGPstmTTcsqx60QBgn1dkDi8\ni+g4RERkg+yyZCuuNmLttiyolHIsmBAHRxXnsEREZHp2V7I6vQErUjLQ0KzDjGFRCPV3Ex2JiIhs\nlN2V7Lc/X8DFKzW4JzYQ93EOS0REZmRXJXsqtwI7jhUg0OfaHFYmk4mORERENsxuSraqpglrtmZC\nqZBjwfhYODu26nr1REREt80uSlanN2DF5gzUN+kwY2hnhAfe/Cr2REREpmIXJfv9/ovILarGXdEB\nGNjTdi82T0RElsXmS/bMhUpsP3IZAd7OeOSBrpzDEhFRm7Hpkq2qacLqrZlQKmRYMD6Oc1giImpT\nNluyeoMBK1MyUNeoxbT7O6N9EOewRETUtmy2ZJP35+F8YTV6d/HH4PgQ0XGIiMgO2WTJpudV4ofD\n+fD3csKjI6M5hyUiIiFsrmTVtc1YtSUTcrkM88fHwcWJc1giIhLDpkrWYJCwaksGahu0mDKkEyKC\nPURHIiIiO2ZTJZtyMA/Zl6+iV5Q/hiaEio5DRER2zmZKNvNSFbYcvAQ/Tyc8Nor7YYmISDybKNnq\numZ88rs5rKuTg+hIRERE1l+yBoOET7ZkoqZeg8mDItGxHeewRERkGay+ZLceuoSsfDV6dvLDsD5h\nouMQERFdZ9Ulm52vxuaDefD1cMTjo7kfloiILIvVlmxNvQYrt2RALpNh3vg4uDlzDktERJbFKkvW\nIElYtTUT1XUaTBrYEZ1CPEVHIiIi+gurLNkfDucjI68K3SN9MeKucNFxiIiIbsjqSjan4Cq+338R\n3u6OmD06GnLOYYmIyEJZVcnWNGiwMiUDMsgwb1ws3F1UoiMRERHdlNWUrEGSsHprJtS1zZg4IAJR\nYV6iIxEREbXIakr2x6OXkX6xCnEdfTDynvai4xARERllFSV7vvAqvvv5IrzcVHhiTAznsEREZBVa\nVbI5OTkYOnQo1q1bZ+48f1FTr8GKzRmQIGHeuFh4cA5LRERWwmjJNjQ04M0330Tfvn3bIs8fSJKE\n979Kg7q2GRP6R6BLuHebZyAiIrpdRktWpVJh1apVCAgIaIs8f7AntRDHM0sR08Ebo/t2aPOvT0RE\ndCeURu+gVEKpNHq367y9XaBUKu4o1G+q6rUI8HHBK4/eBW93J5M8p2j+/u6iI5iMrazFVtYBcC2W\nyFbWAXAtt6P17dlKanWDyZ5r8oAIzJ/YDVVV9Shv0prseUXx93dHeXmt6BgmYStrsZV1AFyLJbKV\ndQBci7HnuxmL/u1imUwGhcKiIxIREd0UG4yIiMhMjH5cnJ6ejiVLlqCoqAhKpRI7duzAhx9+CC8v\nnnGJiIioJUZLNi4uDklJSW2RhYiIyKbw42IiIiIzYckSERGZCUuWiIjITFiyREREZsKSJSIiMhOW\nLBERkZmwZImIiMyEJUtERGQmMkmSJNEhiIiIbBF/kiUiIjITliwREZGZsGSJiIjMhCVLRERkJixZ\nIiIiM2HJEhERmYnR68ma26JFi3D69GnIZDIsXLgQ3bt3v37boUOH8O6770KhUGDAgAF46qmnjD5G\nlJYyHTlyBO+++y7kcjkiIiLw1ltv4fjx43juuefQuXNnAEBUVBRef/11UfH/oKW1DBkyBEFBQVAo\nFACAZcuWITAw0CJfE+DmayktLcWLL754/X4FBQV44YUXoNVq8cEHHyA8PBwA0K9fPyxYsEBI9j/L\nycnBk08+iUcffRSzZs36w23WdKwALa/Fmo6XltZhbcfKzdZijcfK0qVLkZqaCp1Oh3nz5mH48OHX\nb2vzY0US6OjRo9LcuXMlSZKk3NxcacqUKX+4feTIkdKVK1ckvV4vTZ8+XTp//rzRx4hgLNOwYcOk\n4uJiSZIk6ZlnnpH27dsnHTlyRHrmmWfaPKsxxtYyePBgqa6u7pYeI0prc2m1WmnatGlSXV2d9O23\n30qLFy9uy5itUl9fL82aNUv6xz/+ISUlJf3ldms5ViTJ+Fqs5Xgxtg5rOlaMreU31nCsHD58WHri\niSckSZKkqqoqaeDAgX+4va2PFaEfFx8+fBhDhw4FAERGRqK6uhp1dXUArv1rydPTE8HBwZDL5Rg4\ncCAOHz7c4mNEMZbpu+++Q1BQEADAx8cHarVaSM7WuJ3vryW+JkDrc33//fcYMWIEXF1d2zpiq6lU\nKqxatQoBAQF/uc2ajhWg5bUA1nO8GFvHjVjra/IbazhW+vTpgw8++AAA4OHhgcbGRuj1egBijhWh\nJVtRUQFvb+/rf/bx8UF5eTkAoLy8HD4+Pn+5raXHiGIsk5ubGwCgrKwMBw8exMCBAwEAubm5mD9/\nPqZPn46DBw+2beibaM3394033sD06dOxbNkySJJkka8J0Lq1AMDGjRvx0EMPXf/zsWPHMHv2bDzy\nyCPIzMxsk6zGKJVKODk53fA2azpWgJbXAljP8WJsHYD1HCutWQtgHceKQqGAi4sLAGDTpk0YMGDA\n9Y/sRRwrwmeyvyfdxhkeb+cx5najTJWVlZg/fz7eeOMNeHt7o0OHDnj66acxcuRIFBQU4OGHH8bO\nnTuhUqkEJL65P6/l2WefxX333QdPT0889dRT2LFjh9HHWIob5Tp58iQ6dux4/Y29R48e8PHxwaBB\ng3Dy5En8/e9/x5YtW9o6qllY6utyI9Z6vPyeNR8rN2Jtx8ru3buxadMmrF279pYfa8rXRWjJBgQE\noKKi4vqfy8rK4O/vf8PbSktLERAQAAcHh5s+RpSW1gEAdXV1mDNnDp5//nn0798fABAYGIhRo0YB\nAMLDw+Hn54fS0lKEhYW1bfg/MbaWCRMmXP/vAQMGICcnx+hjRGlNrn379qFv377X/xwZGYnIyEgA\nQHx8PKqqqqDX66//S9gSWdOx0hrWdLy0xJqOldawpmNl//79WLFiBVavXg13d/frfy/iWBH6cfG9\n9957/V93GRkZCAgIuP6vpNDQUNTV1aGwsBA6nQ579+7Fvffe2+JjRDGWafHixXjkkUcwYMCA63+X\nkpKCNWvWALj2EUZlZSUCAwPbNvgNtLSW2tpazJ49GxqNBgBw/PhxdO7c2SJfE8D46wIAZ8+eRdeu\nXa//edWqVdi6dSuAa79t6ePjYxFvGi2xpmOlNazpeLkZaztWWsNajpXa2losXboUK1euhJeX1x9u\nE3GsCL8Kz7Jly3DixAnIZDK88cYbyMzMhLu7O4YNG4bjx49j2bJlAIDhw4dj9uzZN3zM7194UW62\njv79+6NPnz6Ij4+/ft8xY8Zg9OjRePHFF1FTUwOtVounn376+uxJtJZek88//xzJyclwdHRETEwM\nXn/9dchkMot8TYCW1wIAY8eOxaeffgo/Pz8AQElJCV566SVIkgSdTmcxWyzS09OxZMkSFBUVQalU\nIjAwEEOGDEFoaKjVHSstrcWajhdjr4k1HSvG1gJYz7Hy9ddf48MPP0RERMT1v7v77rvRpUsXIceK\n8JIlIiKyVTzjExERkZmwZImIiMyEJUtERGQmLFkiIiIzYckSERGZCUuWiIjITFiyREREZsKSJSIi\nMpP/D53D94OzkvG7AAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f49388a3c50>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_7",
              "outputarea_id14",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a8253d8-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2a656d40-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_634390da2c"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_7",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a84eada-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_f48d434ea3"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_8",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a85c1a8-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id14_content_8\");\n",
              "//# sourceURL=js_665e764162"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_8",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a866b4e-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2a85c1a8-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_cf7eca61da"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_8",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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pgVy/VYdtx67B002FFyfEQC7nHJbIWjwcE4iXn4iD3mDA+9su4dK1CtGRHA5L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\nLBERkZn8/7Mjm8uzv2xsAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f4938a87c90>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_8",
              "outputarea_id14",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2aa1a9fe-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2a84eada-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_8374b79da2"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_8",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2aa4a7c6-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_f26e4c5be8"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_9",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2aa51008-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id14_content_9\");\n",
              "//# sourceURL=js_dbc3c69e7c"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_9",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2aa6beda-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2aa51008-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_01f6caedf1"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_9",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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fiQ1xibC3scAK7sNK3vgB3bFgbC+UVzVg1eaLyC+pEXskIsgEQRA6csUrV65g8+bN+OCD\nD9q9nlqtgVKp0MtwRIZSU9eI1/5+BDlF1Xjn2cEYEOYp9kikJ3FHb2BDXCJcHa3x/54fhm4qe7FH\noi5M5+niFjt27MCsWbN0Xq+0VL8/PapUDigsNI/3k+RaTIMgCFi3Oxk5RdWYPSoIPdxtJbuWu0n5\nPvm9h1nL0DAPVFUGYetv6fjzl8fx5sJoeLqIc+qY94lp0vdaVCqHNi/r8PmxM2fOIDo6Wi8DEYnp\n6OUcnEnOR6CPIxZNDhN7HDKACYP8MG9MEEor67FqcwIK9PzDP1FHdSiy+fn5sLOzg6Ul3+qLpC2z\noAqbD6TBzlqJFdMjoVRwH9ZcTRzkh7mjm0L7IUNLIunQd5jCwkK4uvIl5kja6hqang/bqNbimSlh\ncHOyFnskMrDHHvHDnNGBTY9otySgoKxW7JGoi+lQZCMjI7FhwwZDz0JkMIIgYNO+68grqcGEgd0R\n3Usl9khkJJMe6YE5owJRUlGPVZsvMrRkVDxXRl3C8Su5OJWUD39vRzwxKlDsccjIJg3ugSeaQ/vR\n5osoZGjJSBhZMnvZhVX4/tdU2FopsWJGBPdhu6jJg3vg8ZEBKG5+RFvE0JIR8LsNmbX6Bg3+GZuI\nhuZ9WJWzjdgjkYimDOmJ2SOaQvvh5gSGlgyOkSWz9t2v15FbXINx/X3RL5j7sARMHdoTs0YEoLii\nDqu2JKConKElw2FkyWyduJqLE1fz0MPLAXNGB4k9DpmQaUN7Ytaj/igqr8OqzQwtGQ4jS2Ypp6ga\nm/Zfh42VAitnRsJCyf/qdK9pw/wx867QFpfXiT0SmSF+5yGzU9+owZq4RDQ0avGHSWHw4D4stWH6\nMH/MHN4U2g83X0RJBUNL+sXIktnZciAV2YXVGN3PBwNCPcQeh0zc9OH+mD6sJ0NLBsHIklk5lZSH\no5dz4edhj/ljuA9LHTPz0QBMH9YThWVNp44ZWtIXRpbMRm5xNf71y3VYWbbsw/ItF6njZgz3x7Sh\nPVFQVsvQkt4wsmQWGho1WBObhPpGDZY8FgpPV3He2oykSyaTYeaj/pjaEtotCSitrBd7LJI4RpbM\nwtaDacgqrMKoqG54JJxvwE6dI5PJMOtRf0wd2gMFpbX4cPNFhpYeCiNLknf2Wj4OX8qBr8oe88f2\nEnsckrim0AZgypCm0K5iaOkhMLIkafmlNfhmbwqsLBRYOTMClhbch6WHJ5PJMHtEACYP7oH8Up46\nps5jZEmyGtUarIlNRF2DBosfC4G3m53YI5EZkclkeHxkACYN9kN+SQ1WbUlAWRVDSw+GkSXJ2vZb\nOu7kV+HRPt4YEuEl9jhkhmQyGZ4YGYhJjzSHdjNDSw+GkSVJOp9SgN8uZsNHZYeF44PFHofMmEwm\nwxOjAvHYI37IK6nBR1sSUM7QUgcxsiQ5BaU1+HrvNVhayLFyRiSsuA9LBiaTyTBnVCAeG+SH3OKm\nU8fl1Q1ij0USwMiSpDSqtVgTl4Taeg0WTQhBN3fuw5JxyGQyzBkdiAkDuzeFdvNFhpZ0YmRJUrYf\nSsftvEoM6+2FYb29xR6HuhiZTIZ5Y4JaQ/sRH9GSDowsScaF64U4cCEL3dzt8NT4ELHHoS6qJbTj\nB3RHTlE1PtqSgAqGltrAyJIkFJXV4uufr8FSKcfKGRGwsuQ+LIlHJpNh/tggjBvgy9BSuxhZMnlq\nTdM+bE29Gk+OD4aPyl7skYggk8mwYGwvjOvvi+yiany0NQEVNQwt3YuRJZO34/ANZORWYEiEJ4b3\n4T4smQ6ZTIYF43phbH9fZBdWY/UWhpbuxciSSbuUVoT95zLh5WqLRRNDIJPJxB6J6B4ymQwLx/XC\n2H6+yGoObSVDS806FNn4+HhMnz4ds2fPxuHDhw08ElGT4vI6fPVTMiyUcqycGQlrS6XYIxHdl0wm\nw8LxvTCmnw+yCqvx0ZZLDC0B6EBkS0tL8eWXX2Lz5s2IiYnBwYMHjTEXdXFqjRYxcYmorlNjwbhe\n6O7BfVgybTKZDE+OD8bofj7IKqzC6q2X+MtQpDuyp06dwpAhQ2Bvbw8PDw+89957xpiLuridR2/i\nRk4FHgn3xMi+3cQeh6hDZDIZnhofjNHRPsgsqMJfY06gqrZR7LFIRDJBEIT2rrBu3TrcvHkTZWVl\nqKiowEsvvYQhQ4a0eX21WgOlkk+voM47l5yH//vVGXRzt8PfXxsJW2sLsUcieiBarYCYnVew99Qt\nBHRzwv+uHAoHW0uxxyIRdGiTq6ysDP/4xz+Qk5ODxYsX49ChQ23+AkppaY1eB1SpHFBYWKnX2xQL\n16JbSUUdPtl8EUqFHMumhaO6sg7VlXV6/zwteJ+YJnNYy+Mj/KEVBOw7fRt//scxvDE/GvY20v2B\n0Rzukxb6XotK5dDmZTpPF7u5uSE6OhpKpRJ+fn6ws7NDSUmJ3oYjaqHRarE2PglVtY1YMDYIfp5t\n/8clMnVymQzPP94XI/p2w538Kny89RJPHXdBOiM7fPhwnD59GlqtFqWlpaipqYGLi4sxZqMuJvZY\nBtKyyjEg1AOjon3EHofoocnlMix+LAQj+nrjdn4lPt56CdV1DG1XovN0saenJyZOnIi5c+cCAP76\n179CLufTa0m/Em8W46dTt6FytsaSx0L5fFgyG3KZDIsfCwUAHL2ci9VbL+GN+VGw4+8adAkd2pOd\nP38+5s+fb+hZqIsqrazH+j3JUCpkWDkzErbWfD4smZeW0GoF4PiVXHzcHFr+Up/540NSEpVGq8W6\n+CRU1jRi7ugg9PRyFHskIoOQy2RYMikUw3t741ZeJT7edgk1PHVs9hhZElXc8Vu4nlmG/sEqjO3v\nK/Y4RAYll8mwZHIohvX2QkZuJT7edhk1dWqxxyIDYmRJNEm3SvDTyVtwd7LGHyZzH5a6BrlMhj9M\nCsOwSC9k5FY0P6JlaM0VI0uiKKuqx/r4JMjlLfuw3JuirkMul+EPk8MwtDm0n/zA0JorRpaMTqsV\nsC4+CRU1jZgzOgj+3tyHpa5HLpfhmclhGBLhhZs5Ffj7D5dQW8/QmhtGloxu98lbSLlThuhe7hg/\ngPuw1HXJ5TIsnRKGIRGeuJHT9IiWoTUvjCwZ1bXbpYg/ngE3Ryv8YXIY92Gpy2sKbTgGR3jiRnYF\n/v7DZYbWjDCyZDTl1Q1Y17wPu2JGpKRfx5VIn+RyGZ6dEo7B4Z5Izy5naM0II0tGodUKWL87CeXV\nDXh8ZCACfZzEHonIpMjlMiydGoZHWkK7naE1B4wsGcVPp24h+VYp+gS6YcKg7mKPQ2SSFHI5np0a\nhkFhHkjPKsenDK3kMbJkcNfvlCL2eAZcHKzw7NRwyLkPS9QmhVyO56aFY1CYB9KaQ1vXwNBKFSNL\nBlVR04C18UmQQYaV3Icl6pCW0A4MbQ7tDwytVDGyZDBaQcCG3ckoq2rA7JEBCPLlPixRRynkciyb\nHo4BoR5IzSrHp9uvoL5BI/ZY9IAYWTKYvadvIzGjBL0D3PDYI35ij0MkOQq5HMumhWNAiAqpmWX4\ndPtlhlZiGFkyiNTMMuw6mgFne0ssnRrGfViiTlIq5Fg2PQL9Q1S4nlmGz3YwtFLCyJLeVdU2Ym18\nEgQIWD49Ao62lmKPRCRpSoUcy6dHoH+wCil3mkPbyNBKASNLeqUVBGzYk4zSynrMfDQAIX4uYo9E\nZBaUCjmWz4hAv+bQfr7jCkMrAYws6dX+s5m4cqMYET1dMGVID7HHITIrSoUcK2ZEILqXO67dLmVo\nJYCRJb1Jzy7HjsM34GRniWenRXAflsgAlAo5Vs6MbA3tFz9eQQNDa7IYWdKLqtpGrI1LhAABy6ZH\nwMmO+7BEhnJ3aJNvleJzhtZkMbL00ARBwMafrqG4oh4zhvkjrAf3YYkMrSW0UUFNoeUjWtPEyNJD\n+/VcJi6lFyGshwumDu0p9jhEXYZSIcfzs5pCm3SrFF/svMrQmhhGlh7KzZwKbD98A452llg2LRxy\nOfdhiYyp5RFtn0A3JGWU4B87r6JRzdCaCkaWOq2mrhExcYnQagUsmxYOJ3srsUci6pIslHK8MKs3\n+gS6ITGjBF8wtCaDkaVOEQQBG39OQVF5HaYO7Ynwnq5ij0TUpd0T2psl+MfORIbWBOiM7JkzZzB4\n8GAsWrQIixYtwnvvvWeMucjE7TmegYuphQjp7owZw/3FHoeI0BLaSPQOcMPVm8X4clciGtVascfq\n0pQdudKgQYPw+eefG3oWkoiM3Aps3J0EB1sLLJsewX1YIhNioVTgxdmR+GLnVVy5UYwvd13FC7N6\nw0LJE5di4FedHkhNnRoxcYlQa7R4bmo4XBy4D0tkaiyUCrw0uzci/V1bQ8tHtOKQCYIgtHeFM2fO\n4H/+53/g5+eH8vJyvPjiixg2bFib11erNVAqFXoflMQnCAI+/Nd5nLiSgzlje2Hx5HCxRyKidjQ0\navC/G88gIbUQg8K98OenB8CC35+NSmdk8/PzceHCBUyaNAmZmZlYvHgx9u/fD0vL+7+iT2FhpV4H\nVKkc9H6bYpH6Wn67mIXv9qci2NcJq14egZKSarFHemhSv0/uxrWYHlNYR0OjBl/8eAVJt0oRFeSO\n52dFQql48JOYprAWfdH3WlQqhzYv0/mV9vT0xOTJkyGTyeDn5wd3d3fk5+frbTiShtt5ldh6MA32\nNk37sIpOHKREZHyWFgq89HgfRPR0waX0IvxzV9N2DxmHzu+U8fHx+OqrrwAAhYWFKC4uhqenp8EH\nI9NRW6/GmrhEqDUCnp0aDldHa7FHIqIH0BLa8ObQrollaI1FZ2THjBmDc+fOYeHChXj++efx7rvv\ntnmqmMyPIAj49pcUFJTWYtIjfugT6Cb2SETUCS2hDevhgoQ0htZYdD6Fx97eHjExMcaYhUzQkcs5\nOHutAEE+Tpg1IkDscYjoIVhZKPDyE33w+Y4rSEgrQkxcElbMiOjUHi11DL+y1KbMgipsOZAGO2sl\nlk/ngUhkDlpCG+rnjIuphVgbl8RHtAbE75p0X7X1avwztunVYpZOCYebE/dhicyFlYUCrzzRF6F+\nzriQWoi18QytoTCy9B8EQcCm/deRX1KDiYO6I6qXu9gjEZGeWVneFdrrhVjH0BoEI0v/4diVXJxO\nykdAN0c8PjJQ7HGIyEBaQhvc3Rnnrxdi3e5khlbPGFm6R1ZhFTb/mgpbKyVWcB+WyOxZWSrw6pw+\nCPZ1wvmUAqzfnQyNlqHVF34HpVb1DRqsiU1Eg1qLZ6aEwd3ZRuyRiMgIrC2VeHVuXwT7OuEcQ6tX\njCy1+m7/deQW12DcAF/0C1aJPQ4RGVFLaHv5OuHsNYZWXxhZAgCcuJqLE4l56OnlgLmjg8Qeh4hE\nYG2pxKtz+iKoObQb9lxjaB8SI0vILqrGpv3XYWOlwIqZnXvxcCIyDzZWSrw2py+CfJxwJjkfXzG0\nD4XfTbu4+kYNYmIT0dCoxR8mhcGD+7BEXZ6NlRKvze2LQB9HnG4Nbbtv2EZtYGS7uO9/TUV2UTXG\n9PPBgFAPscchIhNhY6XEH+dGtYb2060XoWVoHxgj24WdSszD8Su56OHpgHljuA9LRPdqDW03Rxy+\nkIWvfrrG0D4gRraLyi2uxr/2XYe1pQIrZkbAQqkQeyQiMkFNp46jEOLnglNJedj4M0P7IBjZLqih\nsen5sPWNGiyZFApPF1uxRyIiE2ZrrcT/LBsCf29HnEzMw9cMbYcxsl3QloNpyCqsxqhoHwwK8xR7\nHCKSADsbC7w+ry/8vR1wIjEPX+9laDuCke1iziTn48ilHHT3sMeCsdyHJaKOs7W2wOvzoppCezUP\n3+xNgVZgaNvDyHYh+SU1+OaXFFhZKrByZiT3YYnogbWEtqeXA45fzWVodWBku4hGdfM+bIMGT08M\ngZcr92GJqHNsrS3w+vwo9PBywPErufiWoW0TI9tFbP0tHXcKqjCirzcGR3iJPQ4RSZydtQXeaA7t\nsSu5+NcvDO39MLJdwNlr+Th0MRs+KjssGBcs9jhEZCZaQ+vpgKOXc/GvX64ztL/DyJq5gtIafLM3\nBVYWCjw/MxJWFtyHJSL9sWs+deznaY+jl3OwaR9DezdG1ow1qrVYE5uEugYNFk0MhrebndgjEZEZ\nsrexwBvzo+HnYY8jl3LwHUPbipE1Yz8cSsft/EoM7+2NoZHeYo9DRGbM3sYCbyxoCu3hSzn4fn8q\nBIaWkTVXF64X4OCFLHRzt8PikUvRAAAWkElEQVST47kPS0SG1xLa7h72OJSQje8YWkbWHBWW1WLj\nzymwVMqxckYErCy5D0tExtF06jgKvqrm0P7atUPbocjW1dVh3Lhx2Llzp6HnoYek1mgRE5eI2no1\nnpwQDB+VvdgjEVEX42BriT8tiIKvyg6HLmbj+y4c2g5Fds2aNXBycjL0LKQHOw7fQEZuJYZEeGF4\nb+7DEpE4HGwt8caCaPiq7PDbxWxsPpDWJUOrM7I3btxAeno6Ro0aZYRx6GEkpBZi/7lMeLvZYtHE\nYMhkMrFHIqIuzLE5tD4qOxy8kIUtXTC0MkHHipctW4a3334bsbGx8PHxwezZs9u9QbVaAyVfE9fo\nCkpq8PInh9HYqMHHr45ET29HsUciIgIAlFXW4//EnMCdvEpMfzQAz86I7DIPApTtXRgbG4uoqCh0\n7969wzdYWlrz0EPdTaVyQGFhpV5vUyyGWotao8WH319EdW0jlkwKhZ1SZvCvmbncL+ayDoBrMUXm\nsg7g4dfyxzl98dGWBMQfu4na2kbMHxskWmj1fb+oVA5tXtZuZA8fPozMzEwcPnwYeXl5sLS0hJeX\nF4YOHaq34ejh7TxyEzdyKjA43BOP9uE+LBGZHkc7S/xpQTRWbUnAr+czIZMB88aIF1pjaTeyn376\naeufv/jiC/j4+DCwJuZyehF+OXsHnq62WDQxxOz/wxKRdLWGdvNF7D+XCcD8Q8vnyUpYSUUdNuxJ\nhlLR9HxYG6t2f2YiIhKdk50l3lwQDW83W+w/l4kfDqWb9S9Ddfi78ksvvWTIOegBqTVaxMQnobpO\njUUTQ+Dn2faeABGRKXGyt8KbzaeO953NhEwmw5xRgWb5iJaPZCUq9lgG0rPKMTDUA6Oiuok9DhHR\nA3Gyt8KfFkTDy9UWv5y5gx2Hb5jlI1pGVoKu3izGz6dvw8PZBksmhZrlT39EZP6c7a3w5sJoeLra\nYu+ZO9hxxPxCy8hKTGllPdbvToZSIcPKmZHchyUiSXNuPnXs6WqLvafv4McjN80qtIyshGi0WqyN\nS0RVbSPmjemFHl7chyUi6XNxaA6tiw1+Pn0bO4+aT2gZWQmJO56B1KxyDAhRYUw/H7HHISLSGxcH\nK7y5sB88XWzw06nb2HXMPELLyEpEUkYJfjp5G+5O1lgyKYz7sERkdlpC6+Figz0nb2PXsQzJh5aR\nlYCyqnqs250EubxpH9bWmvuwRGSeWk4dezjbYM/JW4iVeGgZWROn1QpYF5+EyppGzB0dBH++8D8R\nmTlXR2u8uTAaKmdr7D55C3HHM8QeqdMYWRMXfyIDKXfKEN3LHeMG+Io9DhGRUbg6WuOthf2gcrZG\n/IlbiD12U+yROoWRNWHXbpVg94lbcHO0xjNTuA9LRF2Lq6M13lzQD+5OTaGV4iNaRtZElVfVY+3u\nZMjlMqyYGQE7awuxRyIiMjo3p6ZHtO5O1og7noH4E9IKLSNrgrRaAet2J6OiugGPjwxEYDcnsUci\nIhKNm1PTHq27kzVij2Vgt4RCy8iaoD2nbuHa7VJEBblj4qDuYo9DRCQ6dyeb1tDuOpaB3SdviT1S\nhzCyJub6nVLEHc+Aq6MV92GJiO7i7mSDNxdEw83RGruO3sQeCYSWkTUhFdUNiIlPggwyrJgeCXsb\n7sMSEd3N3dkGby2MhpujFXYevYmfTt0Se6R2MbImQisIWL8nGeVVDXh8ZACCfLkPS0R0P+7ONnhz\nYT+4OVrhxyM38fPp22KP1CZG1kTsPX0bSRkl6B3ghomP+Ik9DhGRSVM52+BPC/vB1dEKOw7fwF4T\nDS0jawJSM8uw62gGXBys8OzUMMi5D0tEpJNH8yNaFwcrbD98A3vPmF5oGVmRVdY0YG18EgBg+fQI\nONhaijwREZF0eDTv0bo4WGH7oRv45cwdsUe6ByMrIq0g4KufrqG0sh4zH/VHcHdnsUciIpIcDxdb\nvNkc2h8OpZtUaBlZEe07cwdXbhQjwt8Vk4f0EHscIiLJ8vxdaPedNY3QMrIiSc8qx49HbsLJ3hLP\nTQ3nPiwR0UPydLHFmwui4WxviW2/pWO/CYSWkRVBVW0jYuITIUDAiukRcLTjPiwRkT54utrirYX9\n4GRvia2/pWP/uUxR52FkjUwQBGz86RpKKuoxY7g/QvxcxB6JiMis3BPag2n4VcTQMrJGtv9cJi6l\nFyGshwumDukp9jhERGbJy7Xp1LGTvSW2HEzDr+fFCa3OyNbW1uKVV17BU089hTlz5uDQoUPGmMss\nXb9dgh2Hb8DRzhLLpkdALuc+LBGRoXi72TWF1s4SWw6k4eCFLKPPoDOyhw4dQmRkJL777jt8+umn\n+OCDD4wxl9mprmvEqk3nodUKWDYtHE7chyUiMjhvNzu8ubAptN//mmr00Cp1XWHy5Mmtf87NzYWn\np6dBBzJHLfuwBaW1mD6sJ8J7uoo9EhFRl9ES2g83J+D7X1Ph7mqLvv7G+T4sEwRB6MgV58+fj7y8\nPMTExCA0NLTN66nVGiiVCr0NaA7ij93A+thE9A50x3srhkLB08REREaXmV+Jv8acQFhPN/z56YFG\n+ZwdjiwAXLt2DW+++Sbi4+PbfJ/TwsJKvQ0HACqVg95v05gycivwt00XYGetxBd/GgNNfaPYI+mF\n1O+XFuayDoBrMUXmsg7AfNbSqNbA08MRJSXVertNlcqhzct07skmJiYiNzcXABAWFgaNRoOSkhK9\nDWfOauoasSY2EVqtgOemRcDV0VrskYiIujQLpQIKhfGeWKPzM50/fx4bN24EABQVFaGmpgYuLnxu\npy6CIODrvSkoKq/DlKE9EGGk8/9ERGQ6dEZ2/vz5KCkpwcKFC7Fs2TL893//N+RyPr1Wl98uZuPC\n9UIE+zphxnB/scchIiIR6PztYmtra3z88cfGmMVs3M6rxLbf0mBvY4HlMyKh4A8lRERdEr/761lt\nvRprYhOh1gh4blo4XBysxB6JiIhEwsjqkSAI+PaXFBSU1WLSYD/0DnATeyQiIhIRI6tHRy7l4Oy1\nAgT5OGHWowFij0NERCJjZPXkTn4lNh9Ig521EitmREBpxF8RJyIi08QS6MG/92G1WDo1nM+HJSIi\nAIzsQxMEAZv2XUd+aS0eG+SHqCB3sUciIiITwcg+pGNXcnE6OR+B3RwxeyT3YYmI6N8Y2YeQVVCF\n739NhZ21Esu5D0tERL/DKnRSXYMaa+IS0ajW4pnJYXB3shF7JCIiMjGMbCd9tz8VucU1GD+gO6KD\nVWKPQ0REJoiR7YTjV3JxMjEP/t4OmDM6UOxxiIjIRDGyDyi7sArf7b8OGyslVsyI5D4sERG1iYV4\nAPUNGqyJS0KDWotnJodC5cx9WCIiahsj+wC+/zUVOUXVGNvfF/1DPMQeh4iITBwj20EnE3Nx/Gou\neng5YO7oILHHISIiCWBkOyC3uBqb9qXCxkqBlTMiYKHkl42IiHRjLXRoaNRgTWwi6hs1WDIpDB4u\ntmKPREREEsHI6rD5QBqyCqsxOtoHA0O5D0tERB3HyLbjdHIejl7OgZ+HPeaP5T4sERE9GEa2DXkl\nNfj2l+uwslRg5cxIWCgVYo9EREQSw8jeR6O6eR+2QYOnHwuBpyv3YYmI6MExsvex5WA6MguqMDKq\nGwaHe4k9DhERSRQj+ztnr+XjcEI2fFX2WDC2l9jjEBGRhDGyd8kvrcE3e1NgZaHAypkRsLTgPiwR\nEXUeI9usUa1FTGwS6ho0WDwxBN5udmKPREREEqfsyJVWrVqFCxcuQK1WY/ny5ZgwYYKh5zK6H35L\nx+38Sgzv440hkdyHJSKih6czsqdPn0ZaWhq2bduG0tJSzJo1y+wiez6lAAcvZsHH3Q5Pjg8Wexwi\nIjITOiM7cOBA9OnTBwDg6OiI2tpaaDQaKBTmsV9ZUFaLr/emwNJCjhUzI2HFfVgiItITmSAIQkev\nvG3bNpw/fx4fffRRm9dRqzVQSuSFGxrVWrz1j2NIyyzDK/OiMW6Qn9gjERGRGenQniwAHDhwADt2\n7MDGjRvbvV5pac1DD3U3lcoBhYWVer3NFlsOpCEtswxDI73Q19/FYJ+nhSHXYmzmshZzWQfAtZgi\nc1kHwLXour22dCiyx44dQ0xMDDZs2AAHh7ZvTEouphbi1/OZ8HazxaIJIWKPQ0REZkhnZCsrK7Fq\n1Sp88803cHZ2NsZMBldUVouNP12DpVKOlTMjYWUpjdPbREQkLToj+/PPP6O0tBSvvvpq6799+OGH\n6Natm0EHMxS1RouY+CTU1KuxZFIofFX2Yo9ERERmSmdk582bh3nz5hljFqP48cgN3MypwOAITzza\nx1vscYiIyIx1qVd8upRehH1nM+Hp2rQPK5PJxB6JiIjMWJeJbElFHb7akwylQo6VMyJgY9XhX6wm\nIiLqlC4RWbVGi5i4JFTXqbFwXC/4eZrHb0gTEZFp6xKR3XXsJtKzyzEozAMjo6T5C1tERCQ9Zh/Z\nKzeKsff0HXi42ODpx0K5D0tEREZj1pEtqajDhj3JUCpkWDkjkvuwRERkVGYbWY1Wi7XxSaiqbcT8\nsb3Qw4v7sEREZFxmG9nYYxlIyyrHgBAVRkf7iD0OERF1QWYZ2cSMYvx86jZUztZYMimM+7BERCQK\ns4tsaWU91u9Ohlwuw4oZkbC15j4sERGJw6wiq9UKWL87CZU1jZg7Jgj+3o5ij0RERF2YWUU2/kQG\nUu6UoV+wCuP6+4o9DhERdXFmE9nkWyXYfeIW3J2s8YfJfD4sERGJzywiW15Vj3V37cPaWVuIPRIR\nEZH0I6vVCli3OxkV1Q2YMyoQAd24D0tERKZB8pHdc/IWrt0uRVSQO8YP7C72OERERK0kHdmU26WI\nO5EBN0crPDOFz4clIiLTItnIVlQ3YO3uJMhlMiyfEQl7G+7DEhGRaZFkZLWCgPV7klFe1YDZIwMQ\n5OMk9khERET/QZKR/fnUbSRllKBPoBsmDvITexwiIqL7klxkUzPLsOvYTbg4WGHplDDIuQ9LREQm\nSlKRrahpwNr4JMggw/LpEXCwtRR7JCIiojZJJrJaQcCGPckorazHrBH+CO7uLPZIRERE7ZJMZH85\ncweJN0sQGeCKSYN7iD0OERGRTpKIbFpWGXYeuQlne0s8OzWc+7BERCQJHYpsamoqxo0bh++++87Q\n8/yHiuoGxMQlQYCA5dMj4Mh9WCIikgidka2pqcF7772HIUOGGGOeewiCgE+3XkRpZT1mDvdHiJ+L\n0WcgIiLqLJ2RtbS0xPr16+Hh4WGMee5x8EIWziXnI7ynC6YM6Wn0z09ERPQwlDqvoFRCqdR5tVYu\nLrZQKhUPNVSLkupGeLja4s9LBsHFwVovtyk2lcpB7BH0xlzWYi7rALgWU2Qu6wC4ls7oeD07qLS0\nRm+3NWeEP1bM6o2SkmoU1jXq7XbFolI5oLCwUuwx9MJc1mIu6wC4FlNkLusAuBZdt9cWk/7tYplM\nBoXCpEckIiJqEwtGRERkIDpPFycmJuLDDz9EdnY2lEol9u3bhy+++ALOznzFJSIiovbojGxkZCQ2\nbdpkjFmIiIjMCk8XExERGQgjS0REZCCMLBERkYEwskRERAbCyBIRERkII0tERGQgjCwREZGBMLJE\nREQGIhMEQRB7CCIiInPER7JEREQGwsgSEREZCCNLRERkIIwsERGRgTCyREREBsLIEhERGYjO95M1\ntL/97W+4fPkyZDIZ/vKXv6BPnz6tl508eRKffPIJFAoFRowYgRdeeEHnx4ilvZlOnz6NTz75BHK5\nHP7+/nj//fdx7tw5vPLKK+jVqxcAIDg4GG+//bZY49+jvbWMGTMGXl5eUCgUAIDVq1fD09PTJO8T\noO215Ofn44033mi9XmZmJl5//XU0Njbis88+g5+fHwBg6NChWLlypSiz/15qaiqef/55LFmyBE89\n9dQ9l0npWAHaX4uUjpf21iG1Y6WttUjxWFm1ahUuXLgAtVqN5cuXY8KECa2XGf1YEUR05swZYdmy\nZYIgCEJ6erowd+7cey6fNGmSkJOTI2g0GmHBggVCWlqazo8Rg66Zxo8fL+Tm5gqCIAgvvfSScPjw\nYeH06dPCSy+9ZPRZddG1ltGjRwtVVVUP9DFi6ehcjY2Nwvz584Wqqirhxx9/FD744ANjjtkh1dXV\nwlNPPSX89a9/FTZt2vQfl0vlWBEE3WuRyvGiax1SOlZ0raWFFI6VU6dOCc8++6wgCIJQUlIijBw5\n8p7LjX2siHq6+NSpUxg3bhwAIDAwEOXl5aiqqgLQ9NOSk5MTvL29IZfLMXLkSJw6dardjxGLrpl2\n7twJLy8vAICrqytKS0tFmbMjOvP1NcX7BOj4XLt27cLEiRNhZ2dn7BE7zNLSEuvXr4eHh8d/XCal\nYwVofy2AdI4XXeu4H6neJy2kcKwMHDgQn332GQDA0dERtbW10Gg0AMQ5VkSNbFFREVxcXFr/7urq\nisLCQgBAYWEhXF1d/+Oy9j5GLLpmsre3BwAUFBTgxIkTGDlyJAAgPT0dK1aswIIFC3DixAnjDt2G\njnx933nnHSxYsACrV6+GIAgmeZ8AHVsLAGzfvh1PPPFE69/Pnj2LpUuX4umnn0ZycrJRZtVFqVTC\n2tr6vpdJ6VgB2l8LIJ3jRdc6AOkcKx1ZCyCNY0WhUMDW1hYAsGPHDowYMaL1lL0Yx4roe7J3Ezrx\nCo+d+RhDu99MxcXFWLFiBd555x24uLigZ8+eePHFFzFp0iRkZmZi8eLF2L9/PywtLUWYuG2/X8vL\nL7+MRx99FE5OTnjhhRewb98+nR9jKu43V0JCAgICAlq/sfft2xeurq4YNWoUEhIS8NZbb2H37t3G\nHtUgTPV+uR+pHi93k/Kxcj9SO1YOHDiAHTt2YOPGjQ/8sfq8X0SNrIeHB4qKilr/XlBQAJVKdd/L\n8vPz4eHhAQsLizY/RiztrQMAqqqq8Nxzz+HVV1/F8OHDAQCenp6YPHkyAMDPzw/u7u7Iz89H9+7d\njTv87+hay8yZM1v/PGLECKSmpur8GLF0ZK7Dhw9jyJAhrX8PDAxEYGAgACA6OholJSXQaDStPwmb\nIikdKx0hpeOlPVI6VjpCSsfKsWPHEBMTgw0bNsDBwaH138U4VkQ9XTxs2LDWn+6SkpLg4eHR+lOS\nr68vqqqqkJWVBbVajUOHDmHYsGHtfoxYdM30wQcf4Omnn8aIESNa/y0+Ph5fffUVgKZTGMXFxfD0\n9DTu4PfR3loqKyuxdOlSNDQ0AADOnTuHXr16meR9Aui+XwDg6tWrCA0Nbf37+vXrsWfPHgBNv23p\n6upqEt802iOlY6UjpHS8tEVqx0pHSOVYqaysxKpVq7B27Vo4Ozvfc5kYx4ro78KzevVqnD9/HjKZ\nDO+88w6Sk5Ph4OCA8ePH49y5c1i9ejUAYMKECVi6dOl9P+buO14sba1j+PDhGDhwIKKjo1uvO3Xq\nVEyZMgVvvPEGKioq0NjYiBdffLF170ls7d0n3377LWJjY2FlZYXw8HC8/fbbkMlkJnmfAO2vBQCm\nTZuGr7/+Gu7u7gCAvLw8/OlPf4IgCFCr1SbzFIvExER8+OGHyM7OhlKphKenJ8aMGQNfX1/JHSvt\nrUVKx4uu+0RKx4qutQDSOVa2bduGL774Av7+/q3/9sgjjyAkJESUY0X0yBIREZkrvuITERGRgTCy\nREREBsLIEhERGQgjS0REZCCMLBERkYEwskRERAbCyBIRERkII0tERGQg/x/9pUD4BiddOwAAAABJ\nRU5ErkJggg==\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f4938c230d0>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_9",
              "outputarea_id14",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2ac2b662-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2aa4a7c6-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_c9cabbe5a4"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_9",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2ac54dbe-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_672e40000f"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_10",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2ac5b2e0-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id14_content_10\");\n",
              "//# sourceURL=js_b083e7a853"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_10",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2ac65420-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2ac5b2e0-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_510e4d9c3e"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_10",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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IOS+RKM5qJf7w4DCEB3ngxwtV2HS4kAVsZVi+ZBYZhfVI+6EYQb6ueGT6kBt+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\nAABJRU5ErkJggg==\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f4938a17e90>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_10",
              "outputarea_id14",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2ae01540-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2ac54dbe-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_597e011d56"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_10",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2ae348f0-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_f9d90f7910"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_11",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2ae3de82-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id14_content_11\");\n",
              "//# sourceURL=js_e943e5a863"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_11",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2ae49a0c-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2ae3de82-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_9fe673c7e3"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_11",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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Y+kiQ2OMQkRm5p4rw6HWcuMIqQkNg+Fq561ll2PnLTbg6qrjnJaIHuqeK8MA1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\nxlMAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f493896b090>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_11",
              "outputarea_id14",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b0d0474-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2ae348f0-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_5d0474880c"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_11",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b1080fe-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_99af6bde36"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_12",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b1133f0-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id14_content_12\");\n",
              "//# sourceURL=js_829c898f28"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_12",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b11ad30-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2b1133f0-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_0059fc65a3"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_12",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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nhEMmk4mORNQt9AvywKr4GOgNEtbtSENxRaPoSNQJLF96YFV1rfhkf9btOa+D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\nSUVORK5CYII=\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f49388eef10>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_12",
              "outputarea_id14",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b2f4d54-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2b1080fe-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_8ce16abb66"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_12",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b32a094-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_9dd3415b4e"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_13",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b334b20-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id14_content_13\");\n",
              "//# sourceURL=js_44d155691c"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_13",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b345a60-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2b334b20-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_4cf4f316a3"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_13",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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CRYsW4YUXXoBGo+nRkETmVlHTgg8O5kCpkGPlrDg4qTnntUQh/q54bs4AyGTAP/dcwa3S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\nyYd3iYYAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f4938bca610>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_13",
              "outputarea_id14",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b500120-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2b32a094-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_874616594e"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_13",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b520182-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_6bd8a06323"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_14",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b524e26-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id14_content_14\");\n",
              "//# sourceURL=js_26b6b7f54c"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_14",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b52d8be-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2b524e26-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_2443643cc6"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_14",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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vJcWGeeKVmXGorjNg9fYrqKxpFB2JqENYvkRtcDmjCMcu3IW/pxPmcc4rxISngzFtSAiK\nyuuxZmcSGhqNoiMRtRvLl6gVxRV1+ORgOtQqBZZOj4GDptWTgVEnmT40FEP6+OFWXhXW7UuB0cSD\ncJBtYvkSteD+nDcVtQ1N+MW4ngj0cREdqUuTJAkvTuyF6FAPJGWVYMvRDMg8CAfZIJYvUQt2n76J\nrHuVeDrKF8M457UKKqUCr8THIMjHBaev3MPBxDuiIxE9NpYvUTOuZBbjq++z4evhhPkTIiFJkuhI\n9E+OWhVWJsTBU6fF7m9u4mxynuhIRI+F5Uv0CEVldfjkyzSolAosnR4NRy3nvNbG3UWLVQl94aRV\n4bPD15B6u1R0JKI2Y/kS/UST0YQ/b7mAmvomzB0bgSBfV9GRqBndvJyx/LlYSBLw0e5kZBdUiY5E\n1CYsX6Kf2HPmJtJvl2Jgbx+M6NtNdBxqRc/u7nhpShTqG414f0cSSivrRUciahXLl+hHrmaV4PC5\nbPh7OePFib0457URA3v7YvbocJRXN2L19iTU1htERyJqEcuX6J/Kqhrw8ZdpUCklvDH/Sc55bcz4\nAd0x9slA5BbX4MPdyTA0cR9gsl4sXyIARtP94zZX1xkwe3QEwgLdRUeixyRJEuaMjkD/SG9cyy7H\nJwfTYOI+wGSlWL5EAPZ9ewsZORV4MtIbo58IEB2H2kmhkLBoShTCA93wfXohdp3KEh2J6JFYvtTl\npd4qxcHv7sDLzQELJvXmnNfGadRKLJ8ZCz8PJxw+n40TF3NERyL6GZYvdWllVQ3YcCAVCoWEpfEx\ncHLgnNceuDiqsSohDjpnDbYey8CljCLRkYgewvKlLstkkrHxQCqqag1IGB2OUH+d6EhkRt7ujljx\nXCw0aiXW709FZm6F6EhED7B8qcvaf/YWrmWX44me3hjbP1B0HOoEof46LI2PhtEo44OdV5FfWis6\nEhEAli91UWm3S3Hg7G14uTngl89wf157FhvmhRcmRqK6zoDV26+gsqZRdCQili91PRXVDdhwIA0K\nhYSXp0fD2UEtOhJ1suFx3TBtSAiKyuuxZmcSGhqNoiNRF8fypS7FZJKx4UAaKmsa8dzIMIR1cxMd\niSxk+tBQDOnjh1t5VVi3LwVGEw/CQeKwfKlL+TLxNtLvlKFvuBfGD+guOg5ZkCRJeHFiL0SHeiAp\nqwRfHM2AzINwkCBtKt+MjAyMHTsWW7ZsAQDk5eVh/vz5mDt3LlasWIHGRs5QyPpdzy7Dvm9vwUOn\nxa8mc3/erkilVOCV+BgE+bjg1JV7OHTujuhI1EW1Wr61tbV4++23MWjQoAc/++CDDzB37lxs3boV\nwcHB2LlzZ6eGJOqoyppGrNufCgkSlkyLgYsj57xdlaNWhRWz4uCp02LX6Zv4LiVPdCTqglotX41G\ng40bN8LHx+fBz86fP48xY8YAAEaNGoXExMTOS0jUQSZZxsYv01BR3YiZI3sgPJBz3q5O76rFyoS+\ncNKq8Omha0i9XSo6EnUxrZavSqWCg4PDQz+rq6uDRqMBAHh6eqKoiEePIet1KPEOUm+VIjbMExMG\nBomOQ1YiwMsZy2b2gSQBH+1ORnZBlehI1IV0+Fh6bfnCgl7vBJVK2dGH+hlvb1ez36cI9rIOwPrW\nknqzBHvP3ISnmwP+/YUBcHPRtvm21raWjrCXtZh7Hd7erpCVSry7+QI+2JWM95YPh7fe0ayP0dJj\n2wuu5fG1q3ydnJxQX18PBwcHFBQUPPSR9KOUlZn/qDLe3q4oKrL931TtZR2A9a2lqrYR73z+A4D7\nZ7pprGtEUV3bvhxobWvpCHtZS2eto1eADrNHh2Pb15l4c91Z/HbeE3Dq5H2/7eU5AbiW1u6vOe3a\n1Wjw4ME4cuQIAODo0aMYNmxY+5IRdRKTLOPjL9NRVtWAGcND0bM7z89LzRs/oDvGPhmI3OIafLg7\nGYYm7gNMnavVd74pKSl45513kJubC5VKhSNHjuC9997Df/zHf2Dbtm3o1q0b4uPjLZGVqM2OnM9G\n8s0SxIR6YNLTwaLjkJWTJAlzRkegrLIBFzOKsOlQOhZNjYKCu6NRJ2m1fGNiYrB58+af/fzTTz/t\nlEBEHZWZU4Fdp2/CzUWDl6bwBZTaRqGQsGhqFCr+cQXn0wrgodNi1shw0bHITvEIV2RXqusMWLc/\nBTJkLJkWDZ2zRnQksiEatRLLn4uFr4cTDp/LxomLOaIjkZ1i+ZLdkGUZn3yZhtLKBkwfGorIIL3o\nSGSDXBzV+LeEOOic1Nh6LAOXMrgrJZkfy5fsxpHv7yIpqwRRIXpMGRQiOg7ZMG93R6yYFQeNWon1\n+1ORmVshOhLZGZYv2YWs3ArsOp0FN2cNFk2NhkLBOS91TKi/Dkvjo2E0yvhg51Xkl5p/l0nquli+\nZPNq6g1Yty8VJpOMxVOj4MY5L5lJbJgXXpgYieo6A1Zvv4LKGp5EhsyD5Us2TZZlbDqYjpLKekwd\nEoLeIR6iI5GdGR7XDdOGhKCovB5rdiahodEoOhLZAZYv2bTjF3Jw+UYxegW5Y9qQUNFxyE5NHxqK\nIX38cCuvCuv2pcBo4kE4qGNYvmSzbuVVYvvJTOic1Fg8jXNe6jySJOHFib0QHaJHUlYJvjia0abj\n2hM1h+VLNqm23oC1e1NgMslYNDUa7o9xwgSi9lApFXhlRh8E+bjg1JV7OHTujuhIZMNYvmRzZFnG\np4evobiiHpMHByM6lHNesgxHrQorZsXBU6fFrtM38V1KnuhIZKNYvmRzvr6Ui4vXi9CzuzumD+Wc\nlyxL76rFyoS+cNKq8Omha0i9XSo6Etkgli/ZlDv5Vdj29Q24OKrx8rRoKBX8L0yWF+DljGUz+0CS\ngI92JyO7wD5OqUeWw1cushl1DU1YuzcFTUYZi6ZGQe/KOS+JExmkx0tTolDfaMT7O5JQWlkvOhLZ\nEJYv2QRZlvHZ4WsoLK/DM08Ho08PT9GRiDCwty8SRoWjvLoRq7cnobbeIDoS2QiWL9mEU1fu4Ydr\nhQgPdMOM4ZzzkvWYMLA7xvYPRG5xDT7cnQxDE/cBptaxfMnqZRdU4e/Hb8DZQYUlnPOSlZEkCXPG\nRKB/T29cyy7HpkPpMHEfYGoFX8XIqv3/Oa8JL02JgofOQXQkop9RKCQsmhqF8AA3nE8rwK7TWaIj\nkZVj+ZLVkmUZm49cR0FZHSYODEJcuJfoSETN0qiVWP5cLHw9nHD4XDZOXMwRHYmsGMuXrNaZq3k4\nl1aAsG46PDuih+g4RK1ycVTj3xLioHNSY+uxDFzKKBIdiawUy5esUk5hNb44lgFnBxVenh4NlZL/\nVck2eLs7YsWsOGjUSqzfn4rM3ArRkcgK8RWNrE59YxP+d28KDE0m/Gpyb3i5OYqORPRYQv11WBof\nDaNRxgc7r6KgtFZ0JLIyLF+yKvfnvBnIL63F+AHd0S/CW3QkonaJDfPC/Ak9UV1nwOrtSaisaRQd\niawIy5esyrfJeUhMzUeovw7PjQwTHYeoQ0b0DcDUwSEoLK/Dmp1JaGg0io5EVoLlS1Yjt6gaXxzN\ngKNWhSWc85KdiB8WiiExfriVV4V1+1JgNPEgHMTyJSvR0GjE2n2paGwy4VfP9Ia3O+e8ZB8kScKL\nk3ohOkSPpKwSfHE0AzIPwtHlsXzJKnxxLAP3imswpn8g+kdyzkv2RaVU4JUZfRDk44JTV+5h59c3\nREciwVi+JNx3KXn4NjkPwX6uSBgVLjoOUadw1KqwYlYcPHVafH4oHd+l5ImORAKxfEmoe8U1+PzI\ndThqlVg6PRpqFf9Lkv3Su2qxMqEvnB3V+PTQNaTdLhUdiQThKx0J02AwYu2+FDQaTFgwqTd89E6i\nIxF1ugAvZ/znLwdCkoCP9iTjbmG16EgkAMuXhPn78QzkFtVg1BMBGNDLR3QcIovpE+aFl6ZEoa7B\niPd3JKG0sl50JLIwli8JcS41H98k5SHIxwVzRnPOS13PwN6+SBgVjrKqBqzenoTaeoPoSGRBLF+y\nuPzSWvztyHVoNUosjY+BWqUUHYlIiAkDu2Ns/0DkFtfgw93JMDRxH+CuguVLFmVoMmLt3hQ0NBqx\nYGIv+HpwzktdlyRJmDMmAv17euNadjk2HUqHifsAdwmq9tyopqYGb7zxBioqKmAwGPDqq69i2LBh\n5s5GdujvJzJxt7AaI/p2w1NRvqLjEAmnUEhYNDUKFf+4gvNpBfDQaTFrJEcx9q5d73z37NmD0NBQ\nbN68GWvWrMEf//hHc+ciO/R9egFOXc5FoLcLnh8TIToOkdXQqJVY/lwsfD2ccPhcNk5czBEdiTpZ\nu8pXr9ejvLwcAFBZWQm9Xm/WUGR/Cspq8dnha9CqlVgaHw2NmnNeoh9zcVRjVUIcdE5qbD2egcsZ\nRaIjUSdqV/lOnjwZ9+7dw7hx4zBv3jy88cYb5s5FduRfc976RiNemBAJf09n0ZGIrJKPuyNWzIqD\nWqXA+v2pyMqtEB2JOokkt+MI3/v27cOFCxfw9ttv49q1a/jd736H3bt3N3v9piYjVPxGa5e1bvdV\nHDx7C+MGBmH57H6i4xBZvQvpBXh703m4OKrx52XD0M3bRXQkMrN2feHq0qVLGDp0KACgV69eKCws\nhNFohFL56IItK6ttf8JmeHu7oqioyuz3a2n2sg7g0Wu5cK0QB8/eQoC3M54dFmoza7X358UW2cs6\ngNbXEuzlhPnje+JvX13Hm+u+w+/m94fOWWPBhG3XlZ6X9txfc9r1sXNwcDCSkpIAALm5uXB2dm62\neKnrKiyvw6eH06FRK7B0egy0nPMStdmIvgGYOjgEheV1WLMzCQ2NRtGRyIzaVb6zZ89Gbm4u5s2b\nh1//+tf4wx/+YOZYZOsMTSas25uCugYj5o+PRDcvznmJHlf8sFAMifHDrbwqrNuXAqOJB+GwF+36\n2NnZ2Rlr1qwxdxayIztOZeJ2fhWGxPhhSB9/0XGIbJIkSXhxUi+UVzcgKasEXxzNwPwJkZAkSXQ0\n6iAe4YrM7lJGEY5fyIG/pxPmjY8UHYfIpqmUCrwyow+6+7jg1JV7OHTujuhIZAYsXzKr4vI6bDqY\nDo1KgaXxMdBqOOcl6ihHrQorZ8XBQ6fFrtM3kZiSLzoSdRDLl8zG0GTCuv2pqG1owtxxPRHI3SOI\nzEbvqsWqWXFw0qqw6VA60m6Xio5EHcDyJbP5/FAabt6rxKBoXwyL5ZyXyNwCvF2wbGYfSBLw0Z5k\n3C2sFh2J2onlS2Zx5UYx9p7Ogp+HE78QQtSJIoP0eGlKFOoajHh/RxJKK+tFR6J2YPlSh5VU1OOT\ng2kP5rwOmnZ9iZ6I2mhgb18kjApHWVUDVm9PQm29QXQkekwsX+qQJqMJ6/anoKa+CYvi738jk4g6\n34SB3TG2fyByi2vw4e5kGJq4D7AtYflSh+z55iaycisxsLcPJjwdLDoOUZchSRLmjInAEz29cS27\nHJ8eSofp8Q/VT4KwfKndrmYV4/D5bPjoHfHixF6c8xJZmEIhYfHUKIQF6HAurQC7T98UHYnaiOVL\n7VJaWY+Pv0yHSilh6fQYOGo55yUSQaNWYvnMWPh6OOHQuTv4+lKO6EjUBixfemxGkwnr96eius6A\nOWMiEOzX/Jk7iKjzuTppsCohDjonNb44loHLGUWiI1ErWL702PaeuYUbORV4MtIbo/oFiI5DRAB8\n3B2xYlYc1CoF1u9PRVZuhehI1AKWLz2WlJslOJR4B97uDlgwqTfnvERWJNRfh1fiY9BklLFm51UU\nlJr/XOpkHixfarOyqgZs/DINSqWEpfExcHLgnJfI2sSGeWH+hJ6orjNg9fYkVNY0io5Ej8DypTYx\nmkzYsD8VVbUGJIwKR4ifTnQkImrGiL4BmDI4BIXldViz8yoaGo2iI9FPsHypTfZ/exvX75ajf09v\njOkfKDoOEbVixrBQDI7xw628SqzfnwqjiQfhsCYsX2pV6u1SfPndbXi5OeCXz3B/XiJbIEkSFkzq\nhegQPa5kFmPrsRuQeRAOq8HypRZVVDdg44E0KBQSlkyPgZODWnQkImojlVKBV2bcP+zrycu5OHTu\njuhI9E8sX2qWySRjw4E0VNY0YtbIMPToxjkvka1x1KqwclYcPHRa7Dp9E4kp+aIjEVi+1IIvv7uN\n9Dtl6BvuhXEDuouOQ0TtpHfVYtWsODhpVdh0KB1pt0tFR+ryWL70SOl3yrDv7C146rT41WTuz0tk\n6wK8XbBsZh9IEvDRnmTcLax6TRXWAAAa6ElEQVQWHalLY/nSz1TUNGLD/lQoJAkvT4+BiyPnvET2\nIDJIj4WTo1DXYMT7O5JQWlkvOlKXxfKlh5hkGR8fSEVFTSNmjghDeICb6EhEZEZPRfkiYVQ4yqoa\nsHpHEmrrDaIjdUksX3rIwcQ7SL1dhtgwT4wfyDkvkT2aMLA7xvQPRG5RDT7cnYwmI/cBtjSWLz1w\nPbsMe8/chN5Vi5emREHBOS+RXZIkCc+PicATPb1xLbscmw6lw8R9gC2K5UsAgMraRqzfnwoJEpZM\nj+acl8jOKRQSFk+NQliADudSC7D79E3RkboUli/dn/N+mYby6kbMGB6KiEB30ZGIyAI0aiWWz4yF\nr4cTDp27g68v5YiO1GWwfAlfnc9Gys1SxPTwwKSng0XHISILcnXSYFVCHHROanxxLAOXM4pER+oS\nWL5d3I2ccuw+fRPuLhrOeYm6KB93R6yYFQe1SoH1+1ORlVshOpLdY/l2YdV1BqzblwoZMl6eFg2d\nk0Z0JCISJNRfh6XTY2AwmrBm51UUlNWKjmTXWL5d1L/mvGVVDYgf1gORQXrRkYhIsLhwL8yfEInq\nOgNWb0tCZW2j6Eh2i+XbRR39/i6uZpUgOkSPyYM45yWi+0b2DcCUwSEoLK/Dmh1X0WAwio5kl1i+\nXVBWbgV2nc6Cm7MGL02N5pyXiB4yY1goBsf44VZeJdbvS4XRxINwmFu7y3f//v2YNm0ann32WZw6\ndcqMkagz3Z/zpsAky1g8LRpuzpzzEtHDJEnCgkm9EB2ix5XMYmw9dgMyD8JhVu0q37KyMnz00UfY\nunUr1q1bhxMnTpg7F3UCWZax6WA6SiobMG1IKHoHc85LRI+mUirwyow+6O7jgpOXc3Ho3B3RkexK\nu8o3MTERgwYNgouLC3x8fPD222+bOxd1gmMXcnAlsxi9g/WYOjhEdBwisnKOWhVWzoqDh06LXadv\nIjElX3Qku9Gu8s3JyUF9fT2WLFmCuXPnIjEx0dy5yMxu5VVix8lM6JzUWDw1CgoF57xE1Dq9qxar\nZsXBUavCpkPpSL9dKjqSXZDkdnyQv2HDBly6dAkffvgh7t27hxdeeAEnT55s9oTrTU1GqFTKDoel\n9qmuM2DFX06hqKwW/3fxIPTt6SM6EhHZmOTMYvzXhkRo1Aq889owhPjrREeyaar23MjT0xP9+vWD\nSqVCUFAQnJ2dUVpaCk9Pz0dev6wTdtb29nZFUVGV2e/X0jp7HbIs43/3pKCwtBZTB4cgQO/YaY9n\nL88JwLVYI3tZB2Cba/Fz02Lh5N5Yvz8V/7X+O/zn/P7w0DnY5FqaY+61eHu7NntZuz52Hjp0KM6d\nOweTyYSysjLU1tZCr+eXd6zRiYs5uJhRhMju7pg+NFR0HCKyYU9F+SJhVDjKqhqwekcSauubREey\nWe165+vr64sJEyYgISEBAPD73/8eCgV3GbY2t/Mrsf1kJlyd1Fg8LZpzXiLqsAkDu6Oksh4nLubg\nw91X8d+vDhMdySa1q3wBYM6cOZgzZ445s5AZ1dY3Ye3eFDQZZSyaEgW9q1Z0JCKyA5Ik4fkxESir\nasCljCJ8sO0y5o2L4MF6HhPfrtohWZbx2VfXUFRej8mDghHT49GzeCKi9lAoJCyeGoWwAB1OXcrB\n7tM3RUeyOSxfO3Tqci4uXCtERKAb4odxzktE5qdRK7F8Ziy6eTnj0Lk7OHkpR3Qkm8LytTPZBVX4\n+4lMuDiq8fK0aCg5iyeiTuLqpMH/WTwIOic1thzLwOUbRaIj2Qy+MtuRuoZ/zXlNeGlKb3joHERH\nIiI75+fpjBWz4qBWKbB+Xyqy7lWIjmQTWL52QpZlfH7kOgrK6jDxqSDEhnmJjkREXUSovw5Lp8fA\nYDRhzY6rKOiEYzvYG5avnfgm6R7OpxUgLECHZ4f3EB2HiLqYuHAvzJ8Qieo6A1ZvS0JlbaPoSFaN\n5WsH7hZWY+vxG3B2UGHJtBiolHxaicjyRvYNwJTBISgsr8OaHVfRYDCKjmS1+Cpt4+ob7895DU0m\nLJwcBU83znmJSJwZw0IxOMYPt/IqsX5fKowmk+hIVonla8NkWcbmI9eRX1qL8QO6o28E57xEJJYk\nSVgwqReiQvS4klmMrcduoB3n77F7LF8b9u3VPCSmFiDUX4fnRoaJjkNEBABQKRV4dUYfBHq74OTl\nXBw6d0d0JKvD8rVRuUXV+OJYBpy0KiydHs05LxFZFUetCqsS4uCh02LX6ZtITM0XHcmq8BXbBjU0\nGvG/e1PQ2GTCryb3hpe7o+hIREQ/o3fVYtWsODhqVdh0MB3pt0tFR7IaLF8btOXYdeSV1GJs/0A8\n0dNbdBwiomYFeLtg2bN9IEnAh3uSkVNYLTqSVWD52pizyXk4m5yPYD9XzBoVLjoOEVGregXrsXBy\nFOoajFi9IwmllfWiIwnH8rUhucU12Hz0Ohy1SiyNj4FaxaePiGzDU1G+SBgVjrKqBqzekYTa+ibR\nkYTiq7eNaDAYsW5vChoNJvxyUm/4cM5LRDZmwsDuGPNEIHKLavDh7qtoMnbdfYBZvjZi67EM5BbX\nYPQTAXiyl4/oOEREj02SJDw/NgL9IrxwLbscmw6ld9l9gFm+NiAxNR9nruYhyNcFs0dzzktEtkuh\nkPDytGiEBehwLrUAu7+5KTqSECxfK5dXUoPPv7oOB82/5rxK0ZGIiDpEo1Zi+cxY+OodcTDxDk5e\nyhEdyeJYvlas0WDE2r2paDAYsWBSL/jqnURHIiIyC1cnDVbN7gudkxpbjmXg8o0i0ZEsiuVrxf5x\n4gZyiqoxsm83DOztKzoOEZFZ+bg7YsWsOKhVCqzfl4qsexWiI1kMy9dKfZ9egFNX7iHQ2wVzxkSI\njkNE1ClC/XVYOj0GBqMJa3ZcRUFZrehIFsHytUIFpbX47PA1aNVKLI2PhkbNOS8R2a+4cC/MnxCJ\n6joDVm9LQmVto+hInY7la2UMTUas3ZuC+kYjXpgYCX9PZ9GRiIg63ci+AZgyOBiF5XVYs+MqGgxG\n0ZE6FcvXyvzj60xkF1ZjeJw/BkX7iY5DRGQxM4b1wOAYP9zKq8T6fakwmex3H2CWrxW5cK0QJy/l\nIsDbGc+P7Sk6DhGRRUmShAWTeiEqRI8rmcX44liG3R6Eg+VrJQrLavHp4XRo1AosnR4DLee8RNQF\nqZQKvDqjDwK9XXDyci4On88WHalTsHytgKHJhLX7UlHXYMT88ZHo5sU5LxF1XY5aFVYlxMFDp8XO\nU1lITM0XHcnsWL5WYMfJTNzJr8KQPn4Y0sdfdBwiIuH0rlqsmhUHR60Kmw6mI/12qehIZsXyFSwx\n+R6OX8xBNy9nzBsXKToOEZHVCPB2wbJn+0CSgA/3JCOnsFp0JLNh+QpUXF6HNduuQKNSYOn0aGg1\nnPMSEf1Yr2A9Fk6OQl2DEat3JKG0sl50JLNg+QrSZLw/562pM+AX43oiwNtFdCQiIqv0VJQvZo0K\nQ1lVA1bvSEJtfZPoSB3G8hVk56ks3MqrxKj+gRgayzkvEVFLJg4MwpgnApFbVIOP9iSjyWgSHalD\nOlS+9fX1GDt2LHbv3m2uPF3C5RtFOPrDXfh7OmHpzDhIkiQ6EhGRVZMkCc+PjUC/CC+k3ynDpkPp\nNr0PcIfKd+3atXBzczNXli6huKIOmw6mQ626vz+vo1YlOhIRkU1QKCS8PC0aYQE6nEstwO5vboqO\n1G7tLt+srCxkZmZi5MiRZoxj35qMJqzfl4qa+ibMHRuBQB/OeYmIHodGrcTymbHw1TviYOIdnLyU\nIzpSu0hyO9+3L168GG+++Sb27t2LgIAAPPvss81et6nJCJWK3+T99EAqdp/KxPB+AXj9F/35cTMR\nUTvll9TgNx+cQWVNA363YCCeirGt78606zPPvXv3om/fvujevXubrl/WCedn9PZ2RVFRldnvt7Mk\nZRZj96lM+OodMXtkGIqL7++vZmvraAnXYp3sZS32sg6AazEHJYBlM/vgna2X8O7mC/jN3H4I69ax\nMai51+Lt7drsZe0q31OnTuHu3bs4deoU8vPzodFo4Ofnh8GDB7c7pD0rrazHJwfToVIqsDSec14i\nInMI9ddhyfQY/HXXVazZcRX/+UJ/+OqdRMdqk3a1wPvvv//gz3/9618REBDA4m2G0WTC+v2pqK4z\nYP74ngjybf43ISIiejx9w70wf3wkPj9yHau3J+F38/tD56QRHatV3M+3k+09cws3ciowoJcPRvYL\nEB2HiMjujOwXgCmDg1FYVocPdl5Fg8EoOlKrOvz557Jly8yRwy4l3yzBwcQ78HF3xIJJvfgFKyKi\nTjJjWA+UVjbgu5R8rN+Xitee7QOFwnpfc/nOt5OUVTVg44E0qJQS57xERJ1MkiQsmNQLUSF6XMks\nxhfHMqz6IBws307w4znv7NERCPbjnJeIqLOplAq8OqMPAr1dcPJyLg6fzxYdqVks306w79vbyLhb\njv49vTH6Cc55iYgsxVGrwqqEOOhdtdh5KguJqfmiIz0Sy9fMUm+X4uB3t+Hl5oBfPsM5LxGRpeld\ntViVEAdHrQqbDqYj/Xap6Eg/w/I1o/LqBmzcnwqF4v6c18lBLToSEVGXFOjtgmXP9oEkAR/uSUZO\nYbXoSA9h+ZqJySRjw/5UVNYaMGtUOEL9daIjERF1ab2C9fjV5N6oazBi9Y4klFbWi470AMvXTA58\ndxvXssvRL8IL454MFB2HiIgAPB3lh1mjwlBW1YD3dyShtr5JdCQALF+zSL9div3f3oKnzgG/fKY3\n57xERFZk4sAgjHkiEDlFNfhoTzKajCbRkVi+HVVR04gNB9KgUEhYEh8NF0fOeYmIrIkkSXh+bAT6\nRXgh/U4ZNh1KF74PMMu3A0wmGRsPpKKiphEzR4R1+IwaRETUORQKCS9Pi0ZYgA7nUguw+5ubYvMI\nfXQbdzDxNtJulyEuzBMTBrbt9IpERCSGRq3E8pmx8NU74mDiHZy8lCMsC8u3na5nl2Hvt7fgodNi\n4ZQoznmJiGyAq5MGqxLi4OqkxpZjGbh8o0hIDpZvO1TWNmL9/lRIkLBkWgznvERENsRH74SVs+Kg\nVimwfl8qbt6rtHgGlu9jMskyPj6QhvLqRjw7ogfCAznnJSKyNaH+OiyZHgOD0YQ1O5NQUFZr0cdn\n+T6mw+fuIOVWKfr08MTEp4JExyEionbqG+6F+eMjUVVrwOrtSaisabTYY7N8H0PG3XLs+eYW3F00\nWDilNxSc8xIR2bSR/QIwZXAwCsvqkJxVbLHH5Ulm26jqn3NeGTKWTI+BzkkjOhIREZnBjGE98FSU\nH/pE+qK0xDLHgOY73zYwyTI+OZiOsqoGzBjWAz27u4uOREREZiJJEgK8nKFUWO7TTJZvGxz5PhtX\ns0oQHeqBZwYFi45DREQ2juXbiszcCuw6dRNuLhosmhLFOS8REXUYy7cF1XUGrN+XAhkyXp4aDZ0z\n57xERNRxLN9myLKMTQfTUVLZgOlDQtErWC86EhER2QmWbzOO/XAXVzKL0TtYjymDQ0THISIiO8Ly\nfYSb9yqx41QWdM4aLJ4aBYUFvwFHRET2j+X7EzX1BqzblwKTScbiqVFwc9GKjkRERHaG5fsj/5rz\nFlfUY+qQEESFeIiOREREdojl+yPHL+bg8o1i9Apyx7QhoaLjEBGRnWL5/tOtvEps/zoTrk5qLJoa\nzTkvERF1GpYvgNr6pgdz3kVTo6B35ZyXiIg6T5cvX1mW8dnhdBSV1+OZQcGICfUUHYmIiOxcly/f\nk5dzceF6EXoGuiF+GOe8RETU+bp0+d7Jr8I/TtyAi6Mai6dFQ6no0v8cRERkIV22beoamrB2Xwqa\njDJemhIFD52D6EhERNRFqNp7w3fffRcXL15EU1MTXn75ZYwfP96cuTqVLMv421fXUFhWh0lPByE2\njHNeIiKynHaV77lz53Djxg1s27YNZWVlmDFjhk2V7+kr9/B9eiHCA9wwY1gP0XGIiKiLaVf5Dhgw\nALGxsQAAnU6Huro6GI1GKJVKs4brDNkFVdh6/AacHVRYMj0aKmWX/eSdiIgEkWRZljtyB9u2bcOF\nCxfw5z//udnrNDUZoVKJL+baegP+7f3TyC2qwZsLn8LAKD/RkYiIqAtq98wXAI4fP46dO3di06ZN\nLV6vrKy2Iw/zSN7erigqqmrz9WVZxsYv05BbVIMJA7sj1Nv5sW7fWR53HdaMa7FO9rIWe1kHwLVY\nK3OvxdvbtdnL2l2+Z86cwbp16/Dxxx/D1bX5B7AWZ67m4VxqAXp002HmiDDRcYiIqAtrV/lWVVXh\n3XffxWeffQZ3d3dzZzK7nKJqbD2WASetCkumcc5LRERitat8Dx06hLKyMqxcufLBz9555x1069bN\nbMHMpaHRiLV7U9DYZMLiadHwcncUHYmIiLq4dpXv7NmzMXv2bHNn6RRbjl5HXkktxj4ZiCd6eouO\nQ0REZN9HuPr2ah7OpuQj1N8VCaPCRcchIiICYMflm1tcgy3HrsNRq8KS6TGc8xIRkdWwy0ZqMBix\nbm8KGg0m/OqZXvDmnJeIiKyIXZbvF8cykFtcgzFPBKJ/pI/oOERERA+xu/JNTMnHt1fzEOzrioTR\nnPMSEZH1savyzSupwedHrsNBo8SS+GioVXa1PCIishN2006Nhvv78zYYjFgwqRd89U6iIxERET2S\n3ZTv30/cQE5RDUb2C8DA3r6i4xARETXLLsr3XFo+Tl+5h+4+Lnh+DOe8RERk3Wy+fPNLa/G3r65D\nq1FiaXwM1FZw6kIiIqKW2HT5Gpr+OedtNOLFiZHw8+Ccl4iIrJ9Nl+8/TmTibmE1hsd1w9NRfqLj\nEBERtYnNlu+ZK7k4eTkXgd7OmDs2QnQcIiKiNrPJ8i0sq8Vft1+BVn1/zqtRc85LRES2w+bKV5Zl\nrN2XirqGJsyf0BP+ns6iIxERET0WmyvfRoMJxeV1eGZwCAbH+IuOQ0RE9NhUogM8Lq1GidXLhsLf\nzw1FRVWi4xARET02m3vnC4Dn5iUiIpvGFiMiIrIwli8REZGFsXyJiIgsjOVLRERkYSxfIiIiC2P5\nEhERWRjLl4iIyMJYvkRERBbG8iUiIrIwli8REZGFsXyJiIgsTJJlWRYdgoiIqCvhO18iIiILY/kS\nERFZGMuXiIjIwli+REREFsbyJSIisjCWLxERkYWpRAd4lP/+7/9GUlISJEnC7373O8TGxj647Lvv\nvsNf/vIXKJVKDB8+HK+++mqrtxGppVznzp3DX/7yFygUCoSGhuKPf/wjfvjhB6xYsQIREREAgJ49\ne+LNN98UFf8hLa1l9OjR8PPzg1KpBAC899578PX1tbnnpaCgAK+//vqD6929exe//vWvYTAYsGbN\nGgQFBQEABg8ejKVLlwrJ/lMZGRl45ZVXsGDBAsybN++hy2xpe2lpHba2rbS0FlvbVppbi61tK+++\n+y4uXryIpqYmvPzyyxg/fvyDy4RsJ7KVOX/+vLx48WJZlmU5MzNTTkhIeOjySZMmyffu3ZONRqP8\n/PPPyzdu3Gj1NqK0lmvcuHFyXl6eLMuyvGzZMvnUqVPyuXPn5GXLllk8a2taW8uoUaPk6urqx7qN\nKG3NZTAY5Dlz5sjV1dXyrl275D/96U+WjNkmNTU18rx58+Tf//738ubNm392ua1sL62tw5a2ldbW\nYkvbSmtr+Rdr31YSExPll156SZZlWS4tLZVHjBjx0OUithOr+9g5MTERY8eOBQCEhYWhoqIC1dXV\nAO7/ZuXm5gZ/f38oFAqMGDECiYmJLd5GpNZy7d69G35+fgAADw8PlJWVCcnZFu35N7bV5+Vf9uzZ\ngwkTJsDZ2dnSEdtMo9Fg48aN8PHx+dlltrS9tLQOwLa2ldbW8ijW+JwAbV+LtW8rAwYMwJo1awAA\nOp0OdXV1MBqNAMRtJ1ZXvsXFxdDr9Q/+7uHhgaKiIgBAUVERPDw8fnZZS7cRqbVcLi4uAIDCwkKc\nPXsWI0aMAABkZmZiyZIleP7553H27FnLhm5GW/6N33rrLTz//PN47733IMuyzT4v/7Jjxw4899xz\nD/7+/fffY+HChXjxxReRlpZmkaytUalUcHBweORltrS9tLQOwLa2ldbWAtjOttKWtQDWv60olUo4\nOTkBAHbu3Inhw4c/+Nhf1HZilTPfH5PbcfTL9tzGEh6Vq6SkBEuWLMFbb70FvV6PkJAQvPbaa5g0\naRLu3r2LF154AUePHoVGoxGQuHk/Xcvy5csxbNgwuLm54dVXX8WRI0davY21eFSuy5cvo0ePHg9e\n9OPi4uDh4YGRI0fi8uXLeOONN3DgwAFLR+0U1vq8/JStbis/ZcvbyqPY0rZy/Phx7Ny5E5s2bXrs\n25r7ObG68vXx8UFxcfGDvxcWFsLb2/uRlxUUFMDHxwdqtbrZ24jU0loAoLq6GosWLcLKlSsxdOhQ\nAICvry+eeeYZAEBQUBC8vLxQUFCA7t27Wzb8T7S2lvj4+Ad/Hj58ODIyMlq9jShtyXXq1CkMGjTo\nwd/DwsIQFhYGAOjXrx9KS0thNBof/PZsjWxte2mJLW0rrbGlbaUtbGVbOXPmDNatW4ePP/4Yrq6u\nD34uajuxuo+dhwwZ8uA3wdTUVPj4+Dz4jSowMBDV1dXIyclBU1MTTp48iSFDhrR4G5Fay/WnP/0J\nL774IoYPH/7gZ/v378cnn3wC4P7HISUlJfD19bVs8EdoaS1VVVVYuHAhGhsbAQA//PADIiIibPZ5\nAYDk5GT06tXrwd83btyIL7/8EsD9b396eHgIfzFpja1tLy2xpW2lJba2rbSFLWwrVVVVePfdd7F+\n/Xq4u7s/dJmo7cQqz2r03nvv4cKFC5AkCW+99RbS0tLg6uqKcePG4YcffsB7770HABg/fjwWLlz4\nyNv8+D+DSM2tZejQoRgwYAD69ev34LpTpkzB5MmT8frrr6OyshIGgwGvvfbag/mWaC09L3/729+w\nd+9eaLVaREVF4c0334QkSTb3vIwbNw4AMHXqVHz66afw8vICAOTn5+M3v/kNZFlGU1OT1ewKkpKS\ngnfeeQe5ublQqVTw9fXF6NGjERgYaFPbS0vrsLVtpbXnxJa2ldbWAtjGtrJt2zb89a9/RWho6IOf\nPfXUU4iMjBS2nVhl+RIREdkzq/vYmYiIyN6xfImIiCyM5UtERGRhLF8iIiILY/kSERFZGMuXiIjI\nwli+REREFsbyJSIisrD/B4rTMQ0LZeRsAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f4938bc7b90>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_14",
              "outputarea_id14",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b723b50-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2b520182-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_ef7253f04b"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_14",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b74ecce-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_ca274b8b5a"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_15",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b7539d6-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id14_content_15\");\n",
              "//# sourceURL=js_8b24252cc0"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_15",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b759f0c-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2b7539d6-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_1e6f9cab06"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_15",
              "outputarea_id14"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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cyoaNUo7VCTGwt9X7Z1Z6CIOCPbBidjQ61Fps2JeGmoZ20ZGI9Nbts0hGRgZef/11lJaW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\ntPGbAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f4938bca050>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_15",
              "outputarea_id14",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b930844-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2b74ecce-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_bbba7aae5f"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id14_content_15",
              "outputarea_id14"
            ]
          }
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "text",
        "id": "wiChZ2qmSGYr"
      },
      "cell_type": "markdown",
      "source": [
        "## Iterating over a widget\n",
        "\n",
        "Both grid and tabbar support iteration to populate the widget, without having to\n",
        "explicitly redirect output to each component. Here is an example that produces a\n",
        "grid from flat data:"
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "ndN5ykfrz6CV",
        "outputId": "51e76544-6f7e-465a-a14e-a8573fcf6b5a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 610
        }
      },
      "cell_type": "code",
      "source": [
        "from matplotlib import pylab\n",
        "grid = widgets.Grid(3, 3)\n",
        "for i, (row, col) in enumerate(grid):\n",
        "  print('Plot!')\n",
        "  pylab.figure(figsize=(2, 2))\n",
        "  pylab.plot([i, row, col])\n",
        "\n",
        "# Note: We can re-enter individual cells!\n",
        "for i, (row, col) in enumerate(grid):\n",
        "  print('data at cell %d (%d, %d)\\n' % (i, row, col))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<style>\n",
              "       table#id16, #id16 > tbody > tr > th, #id16 > tbody > tr > td {\n",
              "         border: 1px solid lightgray;\n",
              "         border-collapse:collapse;\n",
              "         \n",
              "        }</style>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<table id=id16><tr><td id=id16-0-0></td><td id=id16-0-1></td><td id=id16-0-2></td></tr><tr><td id=id16-1-0></td><td id=id16-1-1></td><td id=id16-1-2></td></tr><tr><td id=id16-2-0></td><td id=id16-2-1></td><td id=id16-2-2></td></tr></table>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2be01ff8-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_9103f26154"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-0",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2be0fac2-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id16-0-0\");\n",
              "//# sourceURL=js_c46d50fc57"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-0",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2be158aa-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2be0fac2-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_b867519d6a"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-0",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Plot!\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
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            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f493adba7d0>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-0",
              "outputarea_id16",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2bf39d12-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2be01ff8-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_369eacee46"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-0",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2bf77d1a-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_f61d777a81"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-1",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2bf7eb60-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id16-0-1\");\n",
              "//# sourceURL=js_4518fac64a"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-1",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2bf86a72-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2bf7eb60-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_4322033d7a"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-1",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Plot!\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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tiywuLuZHP/oRW7Zs4Te/+Q1Go5GSkhKWLVs24pXct2+fTYq3FysWRBDo68GXl2rp7LFP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\nMjbl/wAnLIcf7EjWHQAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f49389d2290>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-1",
              "outputarea_id16",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c0dbe86-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2bf77d1a-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_9f67a1d311"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-1",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c11738c-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_a351387a2a"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-2",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c11f1fe-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id16-0-2\");\n",
              "//# sourceURL=js_14958dff82"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-2",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c12c868-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2c11f1fe-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_7a34da087b"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-2",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Plot!\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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bsTi7eaEzUAN/2JjIP84/oPJBN0V5tjWysXYuxRceMjw6ye4ty4mNDrM8QAQELcL8bW1c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\nOUJf1EfzAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f49389d2510>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-2",
              "outputarea_id16",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c269fe6-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2c11738c-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_e25a8ea93b"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-2",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c2a936c-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_a93a7c2ab5"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-0",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c2b5f40-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id16-1-0\");\n",
              "//# sourceURL=js_033469850d"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-0",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c2be1ea-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2c2b5f40-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_2f8211d441"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-0",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Plot!\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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XQ4cOkZWVRUZGhlmPt1pQLF3HItjO8ePHSU1NJT09HS8v8xZhWe2pR6xjkaeWlhZSUlJI\nS0t74j2XemK1K4qjrWN5/AZXubm5T73BlVzl5ORgMBhYtWrVw+9t3LiR/v37P/XnxDIDwSzinVnB\nLCIogllEUASziKAIZhFBEcwigiKYRQRFMIsIimCW/wPHzg8Ss6oL6gAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f49389d2190>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-0",
              "outputarea_id16",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c3f1698-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2c2a936c-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_2335cc12ba"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-0",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c42c810-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_020aa1357c"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-1",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c439dd0-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id16-1-1\");\n",
              "//# sourceURL=js_f0bffc4443"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-1",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c4437c2-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2c439dd0-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_438540d121"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-1",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Plot!\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAIoAAACMCAYAAACj3jF5AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ndzOA4PLsAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f493888be10>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-1",
              "outputarea_id16",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c5744c0-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2c42c810-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_9b6ed92b68"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-1",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c5abfce-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_cbbdeefa69"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-2",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c5b2ebe-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id16-1-2\");\n",
              "//# sourceURL=js_9037dd76f3"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-2",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c5bf8da-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2c5b2ebe-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_3d82a48223"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-2",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Plot!\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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GceH6bU5frKN3aJwzBbWMjk3i5a4mVR/N9vhQNGrHDMg9Ro9OpVKhUjn2P4IxPr83Dvyh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\nSs3curGRAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f493888be50>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-2",
              "outputarea_id16",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c6f54fc-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2c5abfce-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_3fdbe67b13"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-2",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c734bf2-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_d4c7d12883"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-0",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c740484-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id16-2-0\");\n",
              "//# sourceURL=js_9777cbd71c"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-0",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c765d56-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2c740484-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_7aa7e67e7a"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-0",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Plot!\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f493883ec10>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-0",
              "outputarea_id16",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c87bf92-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2c734bf2-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_e2d71ae951"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-0",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c8b8532-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_3eda653aba"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-1",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c8c5106-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id16-2-1\");\n",
              "//# sourceURL=js_f13844da14"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-1",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c8ce18e-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2c8c5106-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_d774a5e3d9"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-1",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Plot!\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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,
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f4938a1fe50>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-1",
              "outputarea_id16",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2c9f0bde-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2c8b8532-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_1f85eb419e"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-1",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2ca4f8c8-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_effd67c4f5"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-2",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2ca56448-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id16-2-2\");\n",
              "//# sourceURL=js_c47ccc2ab3"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-2",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2ca5d504-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2ca56448-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_b4787c2e34"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-2",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Plot!\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAIoAAACMCAYAAACj3jF5AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f4938c933d0>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-2",
              "outputarea_id16",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cc743e2-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2ca4f8c8-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_108ab731d3"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-2",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cca5a46-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_f5d547c90a"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-0",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2ccac15c-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id16-0-0\");\n",
              "//# sourceURL=js_b11a693d19"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-0",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2ccb42d0-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2ccac15c-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_3ecf5eee05"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-0",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "stream",
          "text": [
            "data at cell 0 (0, 0)\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cce6be0-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2cca5a46-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_363c41c525"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-0",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cd0f040-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_eb9b789d5d"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-1",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cd15e9a-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id16-0-1\");\n",
              "//# sourceURL=js_8e2c215cc2"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-1",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cd1e310-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2cd15e9a-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_eb8d43b052"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-1",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "stream",
          "text": [
            "data at cell 1 (0, 1)\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cd37d6a-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2cd0f040-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_cc9f81e55f"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-1",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cd63f96-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_a22877172a"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-2",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cd6bda4-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id16-0-2\");\n",
              "//# sourceURL=js_9d95f7161b"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-2",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cd71f9c-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2cd6bda4-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_2a380987a7"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-2",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "stream",
          "text": [
            "data at cell 2 (0, 2)\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cd8e52a-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2cd63f96-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_d5648fe626"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-0-2",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cdbfce2-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_4113fe9481"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-0",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cdc7b72-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id16-1-0\");\n",
              "//# sourceURL=js_fb8509c834"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-0",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cdcf52a-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2cdc7b72-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_a2b22cf795"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-0",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "stream",
          "text": [
            "data at cell 3 (1, 0)\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cdef032-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2cdbfce2-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_90031ca7ea"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-0",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2ce55f4e-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_76426a132d"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-1",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2ce60746-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id16-1-1\");\n",
              "//# sourceURL=js_c8a36265f6"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-1",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2ce6befc-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2ce60746-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_88c09dc1ad"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-1",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "stream",
          "text": [
            "data at cell 4 (1, 1)\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2ce81eaa-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2ce55f4e-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_95a56bff01"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-1",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cea2164-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_284af96020"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-2",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cea7f38-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id16-1-2\");\n",
              "//# sourceURL=js_040fded9a3"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-2",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2ceae7de-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2cea7f38-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_fc2b61dde8"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-2",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "stream",
          "text": [
            "data at cell 5 (1, 2)\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cec6ece-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2cea2164-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_ffffd7b344"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-1-2",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cee6c9c-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_e35844bfca"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-0",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2ceec9d0-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id16-2-0\");\n",
              "//# sourceURL=js_8736ce63f3"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-0",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cef3a1e-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2ceec9d0-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_0cb6d19603"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-0",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "stream",
          "text": [
            "data at cell 6 (2, 0)\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cf08a7c-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2cee6c9c-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_90a68c3bc6"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-0",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cf26748-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_d5bd5a843b"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-1",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cf2c274-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id16-2-1\");\n",
              "//# sourceURL=js_855d5661e6"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-1",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cf3199a-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2cf2c274-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_33bca4c9c4"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-1",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "stream",
          "text": [
            "data at cell 7 (2, 1)\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cf45a9e-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2cf26748-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_30201bf090"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-1",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cf615c8-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_03a291848b"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-2",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cf67cf2-968d-11e8-93d3-0242ac1c0002\"] = document.querySelector(\"#id16-2-2\");\n",
              "//# sourceURL=js_c92db8494e"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-2",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cf70cd0-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2cf67cf2-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_9dca181492"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-2",
              "outputarea_id16"
            ]
          }
        },
        {
          "output_type": "stream",
          "text": [
            "data at cell 8 (2, 2)\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2cf84c4e-968d-11e8-93d3-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2cf615c8-968d-11e8-93d3-0242ac1c0002\"]);\n",
              "//# sourceURL=js_8056bae0ca"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id16-2-2",
              "outputarea_id16"
            ]
          }
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "text",
        "id": "iP3caKQPXSJR"
      },
      "cell_type": "markdown",
      "source": [
        "## Widget Removal\n",
        "\n",
        "Widgets can be removed along with output inside them. Note: the underlying\n",
        "notebook file will also be updated to remove all output, though if the cell is\n",
        "very long running, intermediate outputs might linger in revision history."
      ]
    },
    {
      "metadata": {
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",
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "ok": true,
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 90
        }
      },
      "cell_type": "code",
      "source": [
        "import time\n",
        "from google.colab import widgets\n",
        "\n",
        "t = widgets.TabBar([\"hi\", \"bye\"])\n",
        "g = widgets.Grid(3, 3)\n",
        "print(\"1/4 You also will see me\")\n",
        "print(\"2/4 see me\")\n",
        "\n",
        "for _ in t:\n",
        "  print(\"***** You only see me temporarily!\")\n",
        "\n",
        "print(\"3/4 I am safe\")\n",
        "\n",
        "for _ in g:\n",
        "  print(\"**** Or me for that matter\")\n",
        "\n",
        "print(\"4/4 You also will see me\")\n",
        "\n",
        "time.sleep(1)\n",
        "t.remove()\n",
        "g.remove()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "1/4 You also will see me\n",
            "2/4 see me\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "3/4 I am safe\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "4/4 You also will see me\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}